Data Analyst at ParityCube with 4.4+ years turning raw, multi-source data into revenue and growth decisions — across SQL/Python analysis, executive BI dashboards, dimensional data modeling on modern warehouses, and applied AI systems that automate real operational work.
- Own 3 executive BI dashboards (Power BI / Metabase on PostgreSQL & ClickHouse) tracking 6.8M+ transactions, driving a 10–14% profit-margin improvement over 3 fiscal years
- Built a production analytics engineering platform on Snowflake + dbt — 18 tested models, 150 dbt tests, 0 failures, full lineage documentation
- Shipped a self-learning RAG classifier (Qdrant + OpenAI embeddings) in production, processing ~1,000 deals/day
- Deployed an AWS Fraud Detector ML pipeline that reduced fraud by 80% and manual review by 90%
- Automated reporting and finance workflows (MCP server, n8n, Zapier) — eliminating ad-hoc SQL requests entirely
Data, BI & Warehousing
Languages & Engineering
AI & Automation
| Project | Description | Stack |
|---|---|---|
| Affiliate Revenue Intelligence Platform | Production-style analytics engineering platform — 18 dbt models, 150 tests, 0 failures, full lineage | Snowflake, dbt, SQL |
| Retail Data Pipeline | End-to-end pipeline: S3 → Snowflake (AUTO_INGEST) → Power BI | Python, Snowflake, Power BI |
| Resume AI Analyzer | AI resume analyzer with match scoring and instant structured feedback | Groq, LLaMA-3.3-70b, Streamlit |
| Resume ATS Agent | Multi-agent system — 4 CrewAI agents rewrite and score resumes for ATS | CrewAI, GPT-4o-mini, Streamlit |
| Medicare AI Assistant | RAG chatbot for medical PDFs using vector search | LangChain, FAISS, Streamlit |
Open to Data Analyst, BI / Analytics Engineer, and AI Automation roles at MNCs in Mumbai.