Headline

Business Analyst @ CoinDCX | IIT Bombay ’23

About

Let’s connect and create value through data.. Business & Product Analyst working at the intersection of Data, Experimentation and Gen AI to drive product growth in Web3 and consumer tech.​ At CoinDCX, I blend LLMs, Experimentation platforms & BI to ship decision tools and analytics that directly influence acquisition, activation, and revenue. Recent work includes building an LLM-based SQL copilot, an experimentation platform on Streamlit–Databricks, and token data pipeline for product features Previously at Bewakoof.com, I worked across Product analytics, operations - automating high-friction reporting, and streamlining workflows that saved both cost and manual effort. Those experiences shaped a bias toward measurable impact, fast iteration, and collaborating closely with product, growth, and ops teams. Core skills: product & growth analytics, experimentation design, cohort & retention analysis, SQL, Python, Databricks, Streamlit, Mixpanel, BI tooling, and ML models for propensity and risk. I enjoy owning ambiguous problems end-to-end from defining the right metric to instrumenting data, building pipelines, and communicating clear recommendations.

Location

India

AI stack

antigravity

gemini

langchain

langgraph

ollama

huggingface

Work experience

Business Analyst at CoinDCX, Aug 2024 - Present · 2 yrs 4 mos, Bengaluru, Blending Gen AI systems, Experimentation & BI. Owning product & growth analytics for CoinDCX Web3 Data Science & Machine Learning • Built a Streamlit–Databricks based experimentation platform to estimate cohort sizes for significance, create stratified A/B cohorts, and monitor real-time target and guardrail metrics during experiments • Built an LLM-based SQL copilot using LangChain & Streamlit with chat context memory and custom RAG • Deployed an XGBoost model for Web3 adoption and High-Value Trader propensity, achieving 40% adoption uplift vs control Business & Product Analytics • Unified frontend telemetry into a deterministic order attribution framework and led analysis of acquisition sources, section preferences, and trade TAT by persona, informing features that increased ATPU by 15% • Designed data-driven cohort & CAC recovery based acquisition campaigns, automated reward systems, created Mixpanel & Superset dashboards to monitor user retention, customer quality & campaign ROI • Built OKR and revenue models to quantify feature ROI, revenue uplift, funnel conversion, and ARPU impact • Engineered an on-chain token data pipeline with the Dune API and built a power-user trade–driven token recommendation framework with dynamic thresholds to cut noise and stay consistent across market cycles.

Business Analyst at BEWAKOOF®, Oct 2023 - Mar 2024 · 6 mos, Bengaluru, Karnataka, India, • Developed a ML model to identify orders prone to cancellation or return, implementing XGBoost classifier on 5M orders, Achieving an accuracy score of 89%. Feature importance analysis facilitated decision-making • Optimized courier payout reconciliation process, saving 3L/month, through cross-team collaborations • Automated reports into auto-emailer crons using python and SQL. Saving 9+ hours of manual work daily • Streamlined the coupon creation process by automating flows and removing third-party dependencies. • Created dynamic and interactive dashboards with Visualizations and KPIs using Metabase and Qliksense (Received Letter of Recommendation from Head of Data Intelligence for exemplary contributions during the internship tenure)

Education

Bachelor of Technology - BTech, Metallurgical Engineering and Material Science, Indian Institute of Technology, Bombay

Higher Secondary School Education, Dr. Ambedkar College, Nagpur