Building End-to-End Analytical Pipelines, GenAI-powered Analytics Agentic AI Projects, and Statistical Business Case Studies. Python · SQL · Tableau · LLMs · Hyderabad, India.
I'm an aspiring Data Analyst based in Hyderabad building a portfolio that spans data engineering, data & statistical analysis, hypothetical testing and AI-powered automation.
My work covers the full analytical loop, raw ingestion and cleaning through inferential testing to business recommendations. I believe the value of analysis lives in the decision it enables, not the chart it produces.
Targeting analytics roles across MBB consulting, Big 4, analytics pure-plays, and BFSI GCCs. Open to full-time roles
Built and maintaining an open-source, community-driven resource hub cataloging 60+ verified data engineering assets across 10 categories, including 32 core infrastructure tools, roadmaps, and production design patterns. Building an ongoing real-time searchable, filterable web application deployed via GitHub Pages alongside a structured offline tracking template.
Built an interactive web app using a multi-agent AI system to automate the entire data analysis workflow. Upload a raw CSV and get actionable insights, visualizations, and what-if simulations in seconds—without writing a single line of code. Features include automated data cleaning, statistical profiling, insight generation, and conversational chart building.
Open-source declarative engine to define AI pipelines (ingestion, chunking, embeddings, vector DB, RAG, LLM) in a single TOML file. Eliminates manual setup and dependency conflicts by running tools in isolated Podman containers with sequential, RAM-optimized execution.
Agentic ML orchestration framework running entirely on local infrastructure via Ollama. DeepSeek R1 drives each stage autonomously: schema inference, missing-value strategy, feature engineering, algorithm selection (regression/classification/clustering), cross-validation, and a final model card with metrics. Purpose-built for BFSI and healthcare environments with PHI or MNPI data sovereignty constraints.
Business analytics case studies structured as real product interviews — Problem → Hypothesis → Analysis → Recommendation.
Diagnosed why Zomato's Core Food Delivery revenue stayed flat despite an 18% surge in order volume. Identified a ₹200 flat-discount new-user campaign driving near-zero AOV orders. Recommended minimum order threshold and Q2 retention tracking framework.
Diagnosed why Myntra's logistics costs surged despite record 'End of Reason Sale' Gross Sales. Identified existing VIP users exploiting a ₹3,000 cart threshold by "bracketing" multiple sizes of apparel, driving returns to 35%. Recommended pro-rated refunds and a targeted reverse pickup fee.
Open to full-time Data Analyst roles in Hyderabad. Reach out through any channel below — I typically respond within 24 hours.