Results-driven Senior Data Analyst with 9+ years of experience in Business Intelligence, Marketing Analytics, and AI-Augmented Data Engineering — building systems that generate revenue, cut costs, and drive decisions.
I'm an AI-native practitioner who vibe codes daily — translating analytical intent into working SQL pipelines, Python scripts, and data tools using Claude Code, ChatGPT, and Gemini, without traditional development bottlenecks.
Outside work, I build hobby projects with OpenAI APIs (GPT-4o, Assistants API, Embeddings) and stay current with model releases, applied ML papers, and new tooling as a continuous learning discipline.
🏆 Proven track record with Microsoft · Amazon · Nike · Audi — 90% pipeline latency reduction, 25+ production dashboards, 80% CSAT improvement.
Product & Marketing analytics for a global video SaaS platform
- ⚡ Eliminated 90% of data processing latency by re-engineering legacy ETL into fully automated Snowflake pipelines; accelerated time-to-insight from days to hours.
- 😊 Boosted CSAT by 80% via deep-dive SQL + Tableau customer journey analysis; identified 3 critical friction points and shipped targeted UX fixes.
- 📊 Deployed 10+ real-time Tableau dashboards with integrated feedback loops — cutting reporting cycles by 25% and eliminating manual overhead across 4 teams.
- 🤖 AI-Native Workflow (Daily): Vibe code SQL pipelines and Python scripts using Claude Code; use ChatGPT & Gemini for automated EDA and LLM sentiment tagging — compressing multi-day tasks into hours.
Embedded analytics partner on Microsoft's Digital Marketing Analytics program — serving Amazon, Nike, and Audi
- 📈 Drove 20% faster decision-making by architecting 15+ Power BI dashboards from Azure Cosmos DB datasets for Microsoft advertising strategists.
- 🗺️ Trending Travel Dashboard: Weekly-refresh Power BI platform tracking destination trends, keyword performance (YoY/WoW), search volume, and click index with sensitivity-compliant data masking.
- 🛒 Consumer Decision Journey Tool: Mapped user intent signals across the full consumer funnel; optimized ROAS for Amazon, Nike, and Audi.
- 🔍 Query Pathing Tool: Search behavior tracker improving campaign ROI by 10% through location/POI/destination classification logic.
- 🗄️ Enhanced DB performance 30% by refactoring high-volume SQL queries and stored procedures.
| Company | Role | Period |
|---|---|---|
| TransCentra, Chennai | Data Analyst | Mar 2018 – Aug 2019 |
| Groupon.com, Chennai | Consultant — Data & Business Analytics | Nov 2016 – Dec 2017 |
| Project | Description |
|---|---|
| 🗺️ Trending Travel Dashboard | Weekly-refresh Power BI for Microsoft — destination trends, keyword performance (YoY/WoW), search volume with sensitivity-compliant data masking |
| 🛒 Consumer Decision Journey Tool | Mapped user intent + purchase factors across the funnel; optimized ROAS for Amazon, Nike, Audi on Microsoft's advertising platform |
| 🔍 Query Pathing Tool | Search behavior tracker with location/POI/destination classification — improved campaign ROI by 10% |
| 🤖 OpenAI API Hobby Projects | Built semantic document search, automated Q&A over datasets, and AI-generated data narrative reports using GPT-4o, Assistants API & Embeddings |
| ⚙️ AI-Assisted Analytics Pipeline | Claude Code + ChatGPT integrated into daily workflow — automated EDA, plain-English SQL generation, LLM sentiment analysis (~70% cycle time reduction) |
| Degree | Institution | Year |
|---|---|---|
| MBA | Madras University, Chennai | Dec 2020 |
| B.E. | Sathyabama University, Chennai | Apr 2016 |
- 🏅 Advanced Data Science Certification — upGrad (2024)
- 🏅 Data Science Programming Bootcamp — upGrad (2023)
- 🏅 SQL for Data Science — Coursera (2019)
- 🏅 Power BI for Data Analytics — Pluralsight (2019)
