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Hi there, I'm Sneha
that untangle the messy
I craft
Analytics Engineer x Consultant transforming data chaos into streamlined systems that empower teams to stop wrestling with data and start making decisions
Welcome to my digital workshop, a place where messy data problems meet thoughtful design, and systems are built to flow. I didn’t set out to be just a “data analytics person.” I set out to solve problems and build end‑to‑end solutions.
Once, as a solution architect in a data team, I recall watching hours slip by as we manually compared massive output files—cell by cell—to validate analytics we’d already built. I spotted the bottleneck, stepped in, and wrote a Python automation that turned hours of work into minutes. That one change didn’t just save time; it amplified our team’s ability to collaboratively deliver accurate, quality analytics with confidence. Moments like that remind me why I love what I do.
Ever since, I’ve been building customizable frameworks for seamless data flow, integration, processing, and analytics across industries like telecom, retail, and entertainment. I’ve optimized SQL for faster insights and crafted tailored solutions that help teams untangle their data challenges, streamline processes, and deliver analytics that drive smarter business decisions.
But more than the tech itself, what drives me is what happens after...
teams that stop wrestling with data and start making decisions,
processes that stop creaking and start flowing,
businesses that stop guessing and start growing.
How I create Impact
I build data pipelines and BI solutions that transform chaos into clarity, enabling teams to make confident, data-driven decisions, fast.
Building robust ETL/ELT workflows that turn scattered data into reliable, analytics-ready datasets.
Data Pipelines & Orchestration
Spotting bottlenecks in data workflows and building automations that save hours of manual work and accelerate analytics delivery.
Process Automation & Optimization
Designing data models and interactive dashboards that empower stakeholders to explore data and make decisions without waiting on data teams.
Analytics Enablement & Self-service BI
Translating business requirements into technical solutions by working closely with cross-functional teams, bridging the gap between data and decisions.
Stakeholder Collaboration
What I Do Best
I specialize in turning data chaos into streamlined systems that empower teams to make confident, data-driven decisions
Data Pipeline Design
Design and optimize ETL/ELT processes that transform chaotic data into reliable, scalable systems.
Process
Intelligence
Identify operational inefficiencies and design streamlined workflows that save time and resources.
Analytics Enablement
Build analytics solutions that enable teams to make data-driven decisions with confidence.
Data-driven Solutions
Translate complex business requirements into technical solutions that drive measurable outcomes.
What I do best
Building Data Workflows
Automating Systems
Optimizing Processes
Enabling Analytics
Data storytelling
Delivering Solutions
Skills & Tools
Building Data Workflows
Automating Systems
What I do best
Skills & Tools
Optimizing Processes
Enabling Analytics
Data storytelling
Delivering Solutions
Professional Experience
A journey of building data systems that turn challenges into measurable business wins.
From pipeline engineering to BI solutions, I work at the intersection of data infrastructure and business impact
Associate Analytics Consultant
Blended technical builds with human-focused design to turn business requirements into scalable planning and analytics solutions.
-
Automated a nonprofit client’s budget allocation system, streamlining data integrations and reducing manual prep by 40%.
-
Designed a custom FP&A demo with 5+ business KPIs, a solution recognized as a top pre-sales demo.
-
Accelerated a major platform migration by 20% through detailed testing, troubleshooting, and documentation that improved rollout quality.
-
Partnered with stakeholders to clarify requirements and ensure solutions were intuitive, practical, and impactful.
Jun 2024 - Dec 2024
Boston, MA
Analytics Engineer
Turned raw data into real-time insights while boosting pipeline reliability, powering analytics at scale, and enabling faster decisions.
-
Migrated a live data pipeline (processing 1B+ records) to Snowflake for a global media client, ensuring uninterrupted delivery of Olympics audience metrics.
-
Automated cross-platform validation with Python, cutting testing time from 4 hours to 5 minutes and improving data integrity.
-
Optimized 200+ SQL scripts and co-designed Airflow data workflows, reducing failures and improving query performance by 40%.
-
Built and maintained scalable ETL frameworks and Tableau dashboards across telecom, retail, and media clients, delivering actionable intelligence on COVID, economic, and customer data.
Oct 2020 - Jun 2023
Mumbai, India
Professional Experience
A journey of building data systems that turn challenges into measurable business wins.
From pipeline engineering to BI solutions, I work at the intersection of data infrastructure and business impact
Business Development Analyst
Environmental education startup empowering young children to become environmental stewards through storytelling and nature-based learning.
-
Prototyped data pipeline workflows for HubSpot ad performance analytics, translating cross-functional business requirements into Python-based ingestion and transformation logic.
-
Collaborated with marketing and analytics teams to define pipeline governance standards and data quality frameworks, strengthening reporting accuracy and enabling trustworthy analytics delivery.
Mar 2025 - Aug 2025
Boston, MA
Associate Analytics Consultant
Enterprise planning and BI SaaS platform enabling continuous planning and self-service analytics for global clients.
-
Designed end-to-end ingestion pipelines on Board's BI SaaS platform for a global healthcare nonprofit, integrating APIs and ETL workflows to reduce manual data prep by 40% and enable self-service budget allocation.
-
Built an intuitive FP&A analytics application synthesizing 5+ KPIs into interactive planning workflows, collaborating with product teams to showcase platform capabilities for executive stakeholders.
-
Accelerated platform upgrade by 20% through comprehensive regression testing, uncovering 10+ critical discrepancies and documenting validation best practices to improve governance.
Jun 2024 - Dec 2024
Boston, MA
Analytics Engineer
Global cloud data platform powering enterprise data warehousing and large-scale analytics across industries.
-
Migrated live analytics pipelines processing 1B+ records from Teradata to Snowflake for a global media client during the 2021–22 Olympics, ensuring uninterrupted analytics delivery across production environments.
-
Optimized 200+ SQL scripts and co-designed Airflow-orchestrated ETL workflows, improving query performance by 40% and reducing pipeline failures to support reliable analytics delivery.
-
Automated cross-platform data validation using Python, reducing execution time from 4 hours to 5 minutes (98% efficiency gain), ensuring data quality and accelerating testing cycles.
-
Maintained 5+ production Tableau dashboards tracking 15+ KPIs for a global entertainment company, proactively resolving pipeline breakpoints and ensuring reliable, data-driven decision-making.
Oct 2020 - Jun 2023
Mumbai, India
Professional Experience
A journey of building data systems that turn challenges into measurable business wins.
From pipeline engineering to BI solutions, I work at the intersection of data infrastructure and business impact
Business Development Analyst
Mar 2025 - Aug 2025
Boston, MA
Environmental education startup empowering young children through storytelling and nature-based learning.
-
Platform Integration: Integrated HubSpot and Google Analytics, prototyped workflows, and established a foundation for tracking 100+ leads across channels.
-
GTM Strategy: Developed campaign calendar with 25+ outreach opportunities, managing budgets, and leveraging A/B testing to drive a 40% increase in brand awareness.
-
Lead Generation: Built lead generation frameworks using HubSpot CRM, designing automated workflows that improved prospecting efficiency by 35% for B2B and D2C channels.
Associate Analytics Consultant
Jun 2024 - Dec 2024
Boston, MA
Enterprise planning and BI SaaS platform enabling self-service analytics for global clients.
-
Pipeline Architecture: Designed end-to-end ingestion pipelines, integrating APIs and ETL workflows to reduce manual prep by 40% enabling self-service budget allocation.
-
FP&A Application: Built an FP&A analytics application synthesizing 5+ KPIs into interactive workflows, showcasing platform capabilities for executives.
-
Platform Upgrade: Accelerated upgrade by 20% through regression testing, uncovering 10+ critical discrepancies.
Analytics Engineer
Global cloud data platform powering enterprise data warehousing and large-scale analytics.
-
Platform Migration: Migrated pipelines processing 1B+ records from Teradata to Snowflake during the 2021–22 Olympics with zero downtime.
-
Pipeline Optimization: Optimized 200+ SQL scripts and co-designed Airflow-orchestrated ETL workflows, improving performance by 40%. Reduced processing time by 44% through SQL/Python tuning and AWS S3 optimization.
-
Automation: Automated data validation using Python, cutting execution from 4 hours to 5 minutes (98% gain).
-
Data Integration: Developed scalable ETL frameworks integrating 100M+ rows of COVID, economic, and client data.
-
BI & Reporting: Built SQL procedures and ARIMA models, reducing time-to-insight by 25%. Maintained 5+ production Tableau dashboards tracking 15+ KPIs.
Oct 2020 - Jun 2023
Mumbai, India
Professional
A journey of building data systems that turn challenges into measurable business wins
Associate Analytics Consultant
Blended technical builds with human-focused design to turn business requirements into scalable planning and analytics solutions.
-
Delivered custom enterprise analytics builds that simplified complex budgets and enabled self-serve reporting.
-
Partnered with stakeholders to clarify requirements and ensure solutions met real-world needs.
-
Automated manual data tasks, increasing speed and reliability for cross-functional teams.
-
Accelerated platform migration with rigorous testing and insightful documentation.
Jun 2024 - Dec 2024
Boston, MA
Analytics Engineer
Turned raw data into real-time insights while boosting pipeline reliability, powering insights at scale, and enhancing team efficiency.
-
Spearheaded live data pipeline migrations, powering global events through seamless analytics delivery.
-
Automated validation with Python, reducing manual effort by 80% and enhancing data integrity.
-
Optimized SQL workflows to improve performance and stability across hundreds of scripts.
-
Built scalable ETL frameworks and dashboards, delivering timely, actionable intelligence for telecom, retail, and media.
Oct 2020 - Jun 2023
Mumbai, India
Professional Experience
A journey of building data systems that solve real problems and deliver measurable business value
Associate Analytics Consultant
Board Americas
Delivered client‑ready planning and analytics solutions, blending technical builds with user focused design for real business impact.
-
Delivered custom analytics builds for enterprise clients
-
Improved stakeholder satisfaction through clear requirement gathering
-
Built self-service reporting capabilities
-
Streamlined cross-functional collaboration processes
Jun 2024 - Dec 2024
Boston, MA
Analytics Engineer
Teradata
Built and optimized end‑to‑end data workflows that turned raw data into actionable insights and boosted team efficiency.
-
Automated data validation, reducing manual work by 80%
-
Led cross-functional migration project for enterprise clients
-
Implemented monitoring systems, improving data quality
-
Recognized for rapid technical solution delivery
Oct 2020 - Jun 2023
Mumbai, India
Professional
A journey of building data systems that solve real problems and deliver measurable business value
Associate Analytics Consultant
Jun 2024 - Dec 2024
Boston, MA
Delivered client‑ready planning and analytics solutions, blending technical builds with user focused design for real business impact.
-
Delivered custom analytics builds for enterprise clients
-
Improved stakeholder satisfaction through clear requirement gathering
-
Built self-service reporting capabilities
-
Streamlined cross-functional collaboration processes
Oct 2020 - Jun 2023
Mumbai, India
Analytics Engineer
Built and optimized end‑to‑end data workflows that turned raw data into actionable insights and boosted team efficiency.
-
Automated data validation, reducing manual work by 80%
-
Led cross-functional migration project for enterprise clients
-
Implemented monitoring systems, improving data quality
-
Recognized for rapid technical solution delivery
Professional Experience
A journey of building data systems that solve real problems and deliver measurable business value
Board Americas
Jun 2024 - Dec 2024
Boston, MA
Delivered client‑ready planning and analytics solutions, blending technical builds with user focused design for real business impact.
-
Delivered custom analytics builds for enterprise clients
-
Improved stakeholder satisfaction through clear requirement gathering
-
Built self-service reporting capabilities
-
Streamlined cross-functional collaboration processes
-
Teradata
Oct 2020 - Jun 2023
Mumbai, India
Built and optimized end‑to‑end data workflows that turned raw data into actionable insights and boosted team efficiency.
-
Automated data validation, reducing manual work by 80%
-
Led cross-functional migration project for enterprise clients
-
Implemented monitoring systems, improving data quality
-
Recognized for rapid technical solution delivery
-
Board Americas
Jun 2024 - Dec 2024
Boston, MA
Delivered client‑ready planning and analytics solutions, blending technical builds with user focused design for real business impact.
-
Delivered custom analytics builds for enterprise clients
-
Improved stakeholder satisfaction through clear requirement gathering
-
Built self-service reporting capabilities
-
Streamlined cross-functional collaboration processes
-
Teradata
Oct 2020 - Jun 2023
Mumbai, India
Built and optimized end‑to‑end data workflows that turned raw data into actionable insights and boosted team efficiency.
-
Automated data validation, reducing manual work by 80%
-
Led cross-functional migration project for enterprise clients
-
Implemented monitoring systems, improving data quality
-
Recognized for rapid technical solution delivery
-
Professional Experience
Teradata - Mumbai, India | 2020 - 2023
Analytics Engineer
"Built and optimized end‑to‑end data workflows that turned raw data into actionable insights and boosted team efficiency."
-
Redesigned ingestion pipelines to handle large datasets—building scalable workflows that improved data flow and reduced runtime inefficiencies.
-
Automated a multi‑hour manual validation process with Python, cutting daily validation time from hours to minutes and enabling faster analytics delivery.
-
Optimized complex SQL queries for faster insight generation, ensuring stakeholders could make timely, data‑driven decisions.
-
Collaborated with data engineers and analysts to integrate new sources (AWS S3) into existing pipelines, ensuring robust analytics across telecom, retail, and entertainment use cases.
Board Americas - Boston, MA | 2024
Associate Analytics Consultant
"Delivered client‑ready planning and analytics solutions, blending technical builds with user‑focused design for real business impact."
-
Designed and implemented data models, hierarchies, and backend logic in the Board platform to enable FP&A and intelligent planning for clients.
-
Translated complex business requirements into technical configurations, streamlining planning workflows and improving reporting accuracy.
-
Built visually engaging, interactive dashboards that empowered stakeholders to navigate data intuitively and make confident decisions.
-
Praised by senior consultants for rapid tool mastery and effective cross‑functional collaboration in a fast‑paced environment.
Professional Experience
Analytics Engineer
"Built and optimized end‑to‑end data workflows that turned raw data into actionable insights and boosted team efficiency."
-
Redesigned ingestion pipelines to handle large datasets—building scalable workflows that improved data flow and reduced runtime inefficiencies.
-
Automated a multi‑hour manual validation process with Python, cutting daily validation time from hours to minutes and enabling faster analytics delivery.
-
Optimized complex SQL queries for faster insight generation, ensuring stakeholders could make timely, data‑driven decisions.
-
Collaborated with data engineers and analysts to integrate new sources (AWS S3) into existing pipelines, ensuring robust analytics across telecom, retail, and entertainment use cases.
Associate Analytics Consultant
"Delivered client‑ready planning and analytics solutions, blending technical builds with user‑focused design for real business impact."
-
Designed and implemented data models, hierarchies, and backend logic in the Board platform to enable FP&A and intelligent planning for clients.
-
Translated complex business requirements into technical configurations, streamlining planning workflows and improving reporting accuracy.
-
Built visually engaging, interactive dashboards that empowered stakeholders to navigate data intuitively and make confident decisions.
-
Praised by senior consultants for rapid tool mastery and effective cross‑functional collaboration in a fast‑paced environment.
Projects
Analytics Pipeline
View more
More projects on GitHub
Projects
Netflix Analytics &
Recommendation Pipeline
Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info.
Netflix Content Analysis
& Recommendation Pipeline
Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info.
Netflix Content Analysis
& Recommendation Pipeline
Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info.
More projects on GitHub
Netflix Content Analysis
& Recommendation Pipeline
Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info. Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page.
Netflix Content Analysis
& Recommendation Pipeline
Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info.
Netflix Content Analysis
& Recommendation Pipeline
Collapsible text is perfect for longer content like paragraphs and descriptions. It's a great way to give people more information while keeping your layout clean. Link your text to anything, including an external website or a different page. You can set your text box to expand and collapse when people click, so they can read more or less info.
Projects
Netflix Analytics & Recommendation Pipeline
More projects on GitHub
Professional Experience
A journey of building data systems that turn challenges into measurable business wins
Jun 2024 - Dec 2024
Boston, MA
Associate Analytics Consultant
Blended technical builds with human-focused design to turn business requirements into scalable planning and analytics solutions.
-
Automated a nonprofit client’s budget allocation system, streamlining data integrations and reducing manual prep by 40%.
-
Designed a custom FP&A demo with 5+ business KPIs, a solution recognized as a top pre-sales demo.
-
Accelerated a major platform migration by 20% through detailed testing, troubleshooting, and documentation that improved rollout quality.
-
Partnered with stakeholders to clarify requirements and ensure solutions were intuitive, practical, and impactful.
Oct 2020 - Jun 2023
Mumbai, India
Analytics Engineer
Turned raw data into real-time insights while boosting pipeline reliability, powering insights at scale, and enhancing team efficiency.
-
Migrated a live data pipeline (processing 1B+ records) to Snowflake for a global media client, ensuring uninterrupted delivery of Olympics audience metrics.
-
Automated cross-platform validation with Python, cutting testing time from 4 hours to 5 minutes and improving data integrity.
-
Optimized 200+ SQL scripts and co-designed Airflow data workflows, reducing failures and improving query performance by 40%.
-
Built and maintained scalable ETL frameworks and Tableau dashboards across telecom, retail, and media clients, delivering actionable intelligence on COVID, economic, and customer data.
Recent Projects
A collection of data engineering, analytics, and machine learning projects, each one turning raw data into business-ready insights!
01
🎬 Netflix Analytics & Recommendation Pipeline
End-to-end ELT pipeline with orchestration: From API ingestion to ML-powered recommendations, showcasing modern analytics engineering practices
Built an end-to-end analytics pipeline that mimics Netflix-style personalization, from ingestion to recommendation. Automated data collection from multiple APIs, trained a KNN model enriched with content metadata, and integrated LLM feedback loops to refine suggestions in real time. Orchestrated with Prefect and deployed on GCP, this project demonstrates how analytics engineers enable personalized experiences through scalable data pipelines and ML integration.
Python · SQL · Google Cloud Platform · Prefect · LLM · KNN · MotherDuck · ETL/ELT Pipelines · Dashboards · Streamlit
Built an end-to-end analytics pipeline that mimics Netflix-style personalization, from ingestion to recommendation. Automated data collection from multiple APIs, trained a KNN model enriched with content metadata, and integrated LLM feedback loops to refine suggestions in real time. Orchestrated with Prefect and deployed on GCP, this project blends robust data engineering with AI/ML to demonstrate how personalization drives engagement and reduces churn.
02
🥗 Meal Planning Optimization System
Balancing cost, nutrition, and dietary needs: an optimization model designed for practical healthcare meal planning
Designed an optimization framework for a retirement home’s weekly meal planning, balancing cost efficiency, nutrition requirements, and dietary restrictions for 50+ residents. By modeling trade-offs between cost, variety, and practicality, the solution demonstrates how optimization modeling and scenario analysis translate business constraints (cost, nutrition, variety) into actionable operational plans—a key analytics engineering skill.
Python · Linear Programming · MILP · Excel (OpenSolver) · Optimization · Scenario Analysis · Cost Efficiency · Nutrition Modeling
Designed an optimization framework for a retirement home’s weekly meal planning, balancing cost efficiency, nutrition requirements, and dietary restrictions for 50+ residents. By modeling trade-offs between cost, variety, and practicality, the solution highlighted how operations research can deliver healthier, more diverse, and scalable meal logistics in healthcare.
03
✈️ Flight Disruptions: Insights & Prediction
Large-scale data processing and analytics: Using big data tools to surface insights from 29M+ flight records and predict delays
Analyzed 29M+ U.S. flight records (2018–2022) to uncover patterns in delays and cancellations by airline, geography, and season. Used SQL for large-scale wrangling, Tableau for visual storytelling, and ML classifiers to predict delay durations. This project showcases the full analytics engineering lifecycle: data ingestion at scale, SQL optimization, BI delivery with Tableau, and predictive modeling to drive operational improvements.
Python · SQL · BigQuery · PySpark · Tableau · Machine Learning · Big Data · Predictive Modeling · Data Storytelling · Dashboards
Analyzed 29M+ U.S. flight records (2018–2022) to uncover patterns in delays and cancellations by airline, geography, and season. Used SQL for large-scale wrangling, Tableau for visual storytelling, and ML classifiers to predict delay durations. The project demonstrates how big-data storytelling and applied ML can improve scheduling, resource planning, and passenger experience.
04
🔍 Job Listings Integrity Investigation
NLP and ML powering a smarter way to detect fraudulent job postings and protect platform trust
Developed an NLP and machine learning pipeline to detect fraudulent job postings in ~18K listings. Combined Word2Vec embeddings, SMOTE balancing, and ensemble models, achieving ~80% balanced accuracy. Surfaced key fraud signals such as vague job titles or missing company logos, offering a scalable framework for job boards to boost trust, reliability, and candidate safety.
Python · Natural Language Processing · Ensemble Learning · Fraud Detection · Text Analysis · Data Quality
Developed an NLP and machine learning pipeline to detect fraudulent job postings in ~18K listings. Combined Word2Vec embeddings, SMOTE balancing, and ensemble models, achieving ~80% balanced accuracy. Surfaced key fraud signals such as vague job titles or missing company logos, offering a scalable framework for job boards to boost trust, reliability, and candidate safety.
Recent Projects
End-to-end projects showcasing data pipeline engineering, analytics enablement, and ML deployment, from ingestion to insights.
01
🎬 Netflix Analytics & Recommendation Pipeline
Personalized streaming experiences
Python · SQL · LLM · Cloud · Streamlit · Deploying Analytics Pipeline
01
Built a full data pipeline integrating ETL, machine learning, and LLM personalization to improve Netflix-style recommendations. The system automated ingestion from multiple sources, developed a KNN model, and incorporated LLM feedback loops to refine user suggestions in real-time. Deployed with Prefect and Google Cloud, it demonstrates how robust data engineering and AI integration can enhance personalization and reduce churn.
02
🥗 Meal Planning Optimization System
Nutrition meets optimization
Python · Linear Programming · Optimization · Excel (Open Solver)
02
Designed an optimization model for hospital meal planning that balances cost efficiency, nutrition, and dietary restrictions for 50 residents. By formulating constraints and objectives, the model identified trade-offs between minimal cost and practical, diverse meal plans. The work shows how operations research and optimization can solve real-world healthcare logistics challenges.
03
✈️ Flight Disruptions: Insights & Prediction
Predicting and preventing delays
Python · SQL · BigQuery · PySpark · Tableau · Machine Learning · Big Data
03
Analyzed 29M U.S. flight records (2018–2022) to uncover airline, location, and seasonal disruption patterns. Using SQL queries, visual analytics, and ML models, the project revealed delay and cancellation hotspots and built classifiers for delay durations. It highlights how large-scale data storytelling and predictive modeling can improve scheduling, operations, and the passenger experience.
04
🔍 Job Listings Integrity Investigation
Detecting fraudulent posts
Python · Natural Language Processing (NLP) · Machine Learning · Text Analysis
04
Applied NLP and machine learning to detect fraudulent job postings in ~18K listings. Using Word2Vec embeddings, SMOTE balancing, and ensemble models, the pipeline achieved ~80% balanced accuracy while surfacing fraud-indicating patterns like missing company logos or vague titles. The solution provides a scalable framework for job platforms to improve trust and user safety.
Featured Projects
Tangible solutions that streamline operations, optimize data flows, and deliver measurable impact
Interested in more projects? Check out my GitHub Portfolio!
Technical Expertise
My toolkit for building scalable data systems
Always evolving as I explore new tools and keep pace with industry best practices!
Analytics Engineering
Resilient pipelines for
high-quality data delivery
Cloud & Scalable Platforms
Deploying solutions on modern data stacks
Intelligent Process Design
Automating workflows to increase efficiency
Analytics & Visualization
Translating data streams into data stories for insight
Academic Journey
Grounded in formal education, fueled by hands-on projects, and enriched by ongoing certifications, because learning never stops!
Education
Boston University
Mumbai University
St. Xavier's College
M.S. in Business Analytics
High Honors | 2025
M.Sc. in Statistics
Honors | 2020
B.Sc. in Statistics
Honors | 2018
Education
M.S. Business Analytics
2023 - 2025
M.Sc. Statistics
2018 - 2020
B.Sc. Statistics
2015 - 2018
Testimonials
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"I don't just build data systems - I work towards experiences that make teams fall in love with their data"
Welcome to my corner of the data world, where messy problems meet thoughtful design and teams stop wrestling with data and start making decisions. My journey into analytics engineering wasn't planned; it was discovered through solving real problems at the intersection of data infrastructure and business impact.
As an analytics engineer at Teradata, I watched hours slip away as my team manually validated massive data files during a high-stakes live migration. I spotted the inefficiency, wrote a Python automation, and turned 4 hours of QA work into 5 minutes—a 98% efficiency gain. That shift didn't just save time; it amplified our team's capacity to deliver reliable analytics during the 2021–22 Olympics. That's when I realized: I don't just build data pipelines, I build systems that enable teams to move faster and make better decisions. I realized that I never set out to be just a “data analytics person.” I set out to solve problems, build end-to-end solutions that flow, and empower teams.
Since then, I've built ETL/ELT pipelines, data models, and BI solutions across telecom, retail, healthcare, and entertainment. I work at the intersection of data engineering and business enablement, translating messy requirements into scalable technical solutions while ensuring stakeholders can actually use the data. I thrive on building systems that don't just work, they flow, and enable teams to stop guessing and start growing.
What Drives Me
Clarity
Cutting through data noise to deliver insights that flow
Efficiency
Optimizing workflows to boost data team productivity
Growth
Enabling businesses to stop guessing and start scaling
Beyond the Data
The story behind the systems: a passion for clarity + efficiency and a drive for meaningful impact.
"I don't just build data systems - I work towards experiences that make teams fall in love with their data"
The story behind the systems: a passion for clarity + efficiency and a drive for meaningful impact.
Beyond the Data
Welcome to my corner of the data world, where messy problems meet thoughtful design and teams rediscover what data can do for them. My journey into analytics engineering wasn’t planned but rather discovered.
Once, as a solution architect, I watched hours slip away as my team manually validated massive data files, line by line. I instantly spotted inefficiency, stepped in, wrote a Python automation, and turned hours of QA work into minutes. That single shift didn’t just save time — it amplified our capacity to deliver accurate analytics with confidence during a high-priority live migration project. That’s when I realized: what drives me is to ensure data systems stop creaking and start flowing. I realized that, I never set out to be just a “data analytics person.” I set out to solve problems, build end-to-end solutions that flow, and empower teams.
Since then, I’ve built frameworks for seamless data ingestion, processing, and analytics across industries like telecom, retail, and entertainment. I thrive at translating complexity into clarity. I aspire to continue designing processes that empower teams and enabling analytics that help businesses stop guessing and start growing.
What Drives Me
Clarity
Cutting through data noise to deliver insights that flow
Efficiency
Optimizing workflows to boost data team productivity
Growth
Enabling businesses to stop guessing and start scaling
Beyond the Data
The story behind the systems: a passion for clarity + efficiency and a drive for meaningful impact.
"I don't just build data systems - I work towards experiences that make teams fall in love with their data"
Welcome to my corner of the data world, where messy problems meet thoughtful design and teams rediscover what data can do for them. My journey into analytics engineering wasn’t planned but rather discovered.
Once, as a solution architect, I watched hours slip away as my team manually validated massive data files, line by line. I instantly spotted inefficiency, stepped in, wrote a Python automation, and turned hours of QA work into minutes. That single shift didn’t just save time — it amplified our capacity to deliver accurate analytics with confidence during a high-priority live migration project. That’s when I realized: what drives me is to ensure data systems stop creaking and start flowing. I realized that, I never set out to be just a “data analytics person.” I set out to solve problems, build end-to-end solutions that flow, and empower teams.
Since then, I’ve built frameworks for seamless data ingestion, processing, and analytics across industries like telecom, retail, and entertainment. I thrive at translating complexity into clarity. I aspire to continue designing processes that empower teams and enabling analytics that help businesses stop guessing and start growing.
What Drives Me
Clarity
Cutting through data noise to deliver insights that flow
Efficiency
Optimizing workflows to boost data team productivity
Growth
Enabling businesses to stop guessing and start scaling
Welcome to my corner of the data world, where messy problems meet thoughtful design and teams rediscover what data can do for them. My journey into analytics engineering wasn’t planned but rather discovered.
Once, as a solution architect, I watched hours slip away as my team manually validated massive data files, line by line. I instantly spotted inefficiency, stepped in, wrote a Python automation, and turned hours of QA work into minutes. That single shift didn’t just save time — it amplified our capacity to deliver accurate analytics with confidence during a high-priority live migration project. That’s when I realized: what drives me is to ensure data systems stop creaking and start flowing. I realized that, I never set out to be just a “data analytics person.” I set out to solve problems, build end-to-end solutions that flow, and empower teams.
Since then, I’ve built frameworks for seamless data ingestion, processing, and analytics across industries like telecom, retail, and entertainment. I thrive at translating complexity into clarity. I aspire to continue designing processes that empower teams and enabling analytics that help businesses stop guessing and start growing.
Clarity
Cutting through data noise to deliver insights that flow
My Story
What Drives Me
Efficiency
Optimizing workflows to boost data team productivity
Growth
Enabling businesses to stop guessing and start scaling
Beyond the Data
The story behind the systems: a passion for clarity + efficiency and a drive for meaningful impact.
"I don't just build data systems - I work towards experiences that make teams fall in love with their data"
