Turning raw, multi-source data into revenue and growth decisions using SQL, Python, executive dashboards, and modern data warehousing.
4.4+ Years ExperienceMumbai, IndiaOpen to opportunities
About
Data Analyst with 4.4+ years turning raw, multi-source data into revenue and growth decisions across performance marketing and fintech. Works across the full stack — SQL and Python analysis, executive BI dashboards, dimensional data modeling on modern warehouses, and applied AI systems that automate real operational work. Most interested in the moment a dashboard or a workflow actually changes what someone decides to do next.
Skills & Technologies
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Own 3 executive BI dashboards (Metabase / Power BI on PostgreSQL and ClickHouse) across three affiliate platforms, tracking 6.8M+ transactions; cohort, funnel, and trend analysis drove a 10 to 14 percent profit-margin improvement over 3 fiscal years at 83 to 93 percent data-validation accuracy.
Built a cross-platform campaign comparison tool in ClickHouse using templated dual date-window filters and conditional aggregation for flexible period-over-period analysis of GMV, commission, and conversion rate.
Designed a multi-product executive dashboard unifying gift cards, prepaid cards, cashback, and affiliate revenue across 8+ source tables, with self-serve tools surfacing top gaining and declining campaigns.
Built a self-learning RAG deal-category classifier (Qdrant, OpenAI embeddings) processing about 1,000 deals a day, with an autonomous LLM fallback that writes back to the vector store, eliminating manual categorization.
Deployed an AWS Fraud Detector model with custom mobile-number enrichment features, cutting fraudulent transactions 80 percent and manual review 90 percent.
Automated finance and operations workflows with n8n and Zapier, and built an MCP server letting non-technical teams self-serve campaign reports via plain-English prompts.
Data Analyst — Fin Rise Softech
Jun 2022 — Nov 2024
Built and maintained a Power BI risk-monitoring dashboard across 200+ client portfolios, improving data accuracy 25 percent and reducing risk exposure 30 percent.
Contributed to database schema and data-model design for a Risk Management System, improving system performance 15 percent.
Wrote and optimized SQL queries and stored procedures on SQL Server, cutting query execution time 10 percent and eliminating production deadlocks.
Applied regression and pattern-recognition analysis on trade data, enabling strategic adjustments to client trading models.