# Nikunj Kaushik **Analytics & Data Science Leader** · Bengaluru, India Analytics and data science leader with 9+ years turning analysis into business outcomes - revenue, retention and growth, not dashboards for their own sake. Mechanical and Automation Engineering graduate who started out in analytics. Now also builds AI tools that give business teams direct access to their data without an analyst in the loop for every question. - Website: - LinkedIn: - GitHub: - X: - Email: info@nikunjkaushik.com ## Open to - Freelance and fractional analytics / data science consulting - AI and LLM analytics build-outs - Senior analytics and data science roles ## Experience | Company | Domain | Focus | | --- | --- | --- | | Razorpay *(current)* | Fintech / Payments | Growth & marketing analytics | | MPL | Mobile Gaming | Revenue, product and marketing data science | | Ola | Mobility / Logistics | Supply planning analytics | | Mu Sigma | Analytics Consulting / Fortune 500 | Decision frameworks for CPG, pharma and technology enterprises | ## Core expertise - Uplift modeling and causal inference - Churn prediction and retention forecasting - Multi-touch attribution - Bayesian marketing mix modeling - Revenue simulation and P&L forecasting - Product, growth, marketing and FP&A analytics - LLM and RAG systems for analytics - Text-to-SQL ## Stack SQL, Python, R, Power BI, Tableau, R Shiny, Google Cloud, BigQuery, Gemini API, Advanced Excel ## Building with AI (2026) - [Meridian - an autonomous agent](https://meridian.nikunjkaushik.com) - Reads the open web, keeps its own notes, chooses when to wake, reports one-way to Telegram; no tool can post, email or edit ([code](https://github.com/kaushiknikunj1/meridian)) - [My Second Brain](https://nikunjkaushik.com/second_brain.html) - Interactive knowledge graph of everything written and built (321 nodes), plus an Obsidian vault with a Gemini Q&A CLI - [Analytics AI](https://nikunjkaushik.com/ai-tools.html) - Upload a CSV or connect a database, ask in plain English, get a chart and a straight answer (Gemini on Cloud Run; in progress) - [Ask my blog](https://github.com/kaushiknikunj1/ask-my-blog) - RAG with citations over 27 articles and case studies, index built from this site's llms.txt; retriever first, generator optional - [Churn Explainer](https://github.com/kaushiknikunj1/churn-explainer) - Per-customer SHAP drivers turned into two-line retention briefs; every LLM-written number verified against the model - [Anomaly Narrator](https://github.com/kaushiknikunj1/anomaly-narrator) - Isolation Forest + robust z-scores find the spike; an LLM drafts the first incident note with every number checked - [Text-to-SQL Analyst](https://github.com/kaushiknikunj1/text-to-sql-analyst) - Plain-English questions over a payments database with schema-aware prompts, read-only guardrails and one automatic repair - [Agent-readable profile](https://nikunjkaushik.com/llms.txt) - llms.txt, profile.json, profile.md and RSS regenerated from the site by tools/gen_profile.py ## Case studies - [User Churn Prediction Model](https://nikunjkaushik.com/projects/churn-prediction.html) - Predictive ML · [code](https://github.com/kaushiknikunj1/nikunjkaushik-demos/tree/main/churn-prediction) - [Bayesian Marketing Mix Model](https://nikunjkaushik.com/projects/marketing-mix-model.html) - Bayesian econometrics - [Uplift Modeling for Incremental Targeting](https://nikunjkaushik.com/projects/uplift-modeling.html) - Causal inference · [code](https://github.com/kaushiknikunj1/nikunjkaushik-demos/tree/main/uplift-modeling) - [Multi-Touch Attribution Engine](https://nikunjkaushik.com/projects/multi-touch-attribution.html) - Attribution modeling · [code](https://github.com/kaushiknikunj1/nikunjkaushik-demos/tree/main/multi-touch-attribution) - [Revenue Simulation & Forecasting](https://nikunjkaushik.com/projects/revenue-simulation.html) - Monte Carlo simulation · [code](https://github.com/kaushiknikunj1/nikunjkaushik-demos/tree/main/revenue-simulation) - [Payment Metrics Anomaly Detection](https://nikunjkaushik.com/projects/anomaly-detection.html) - Production ML ## Writing - [India 2003–2025 — UPA vs NDA, in 214 Charts](https://nikunjkaushik.com/blog/india-decade-in-charts.html) - Geopolitics, Aug 21, 2026 - [The CAC Payback Trap: Why Your Payback Period Is Lying to You](https://nikunjkaushik.com/blog/cac-payback-trap.html) - Business & Finance, Jun 13, 2026 - [LTV:CAC Is Lying to You](https://nikunjkaushik.com/blog/ltv-cac-truth.html) - Business & Finance, Jun 11, 2026 - [Simulating the P&L Before You Make the Decision](https://nikunjkaushik.com/blog/simulating-the-pnl.html) - Business & Finance, Jun 9, 2026 - [1929 → 2026 — The Next Great Reset](https://nikunjkaushik.com/blog/great-financial-reset-2026.html) - Geopolitics, Jun 7, 2026 - [India 2003–2025 — UPA vs NDA, by the Numbers](https://nikunjkaushik.com/blog/india-decade-comparison.html) - Geopolitics, Apr 9, 2026 - [Text-to-SQL with LLMs: What Actually Works](https://nikunjkaushik.com/blog/text-to-sql-llms.html) - AI, Mar 4, 2026 - [LLMs for Analytics: Honest Take After a Year of Building](https://nikunjkaushik.com/blog/llms-for-analytics.html) - AI, Mar 4, 2026 - [RAG for Analytics: Letting Your Team Ask Questions in Plain English](https://nikunjkaushik.com/blog/rag-for-analytics.html) - AI, Mar 3, 2026 - [How to Set Up Claude Code CLI: A Practical Guide](https://nikunjkaushik.com/blog/claude-code-setup.html) - AI, Mar 1, 2026 - [Anomaly Detection Is the Easy Part. Explaining What It Means Is the Hard Part.](https://nikunjkaushik.com/blog/anomaly-detection-llms.html) - AI, Feb 25, 2026 - [Beyond Dashboards: Why AI is the New Interface for Product Analytics](https://nikunjkaushik.com/blog/ai-product-analytics.html) - AI, Feb 21, 2026 - [Bayesian MMM in 2026: What's Changed, What Hasn't, and Where AI Fits](https://nikunjkaushik.com/blog/bayesian-mmm-2026.html) - AI, Feb 14, 2026 - [Uplift Modeling: Measuring the True Impact of Your Campaigns](https://nikunjkaushik.com/blog/uplift-modeling.html) - Data Science, Nov 18, 2025 - [The Analyst's Guide to A/B Testing: From Hypothesis to Decision](https://nikunjkaushik.com/blog/ab-testing.html) - Data Science, Oct 22, 2025 - [Data Storytelling: Turning Analysis into Executive Action](https://nikunjkaushik.com/blog/data-storytelling.html) - Product Analytics, Sep 5, 2025 - [Multi-Touch Attribution: Moving Beyond Last Click](https://nikunjkaushik.com/blog/multi-touch-attribution.html) - Product Analytics, Jul 14, 2025 - [Churn Prediction with Machine Learning: A Practitioner's Guide](https://nikunjkaushik.com/blog/churn-prediction-ml.html) - Data Science, May 3, 2025 - [Choosing Your North Star Metric: A Framework for Product Analytics](https://nikunjkaushik.com/blog/product-north-star-metrics.html) - Product Analytics, Mar 12, 2025 - [Cohort Analysis: What Aggregated Retention Hides](https://nikunjkaushik.com/blog/cohort_analysis.html) - Product Analytics, Dec 27, 2024 - [India / Bharat @ 2047 — A Civilisational Return](https://nikunjkaushik.com/blog/india-2047.html) - Geopolitics, Coming soon *Generated 2026-10-31 · machine-readable: [JSON](https://nikunjkaushik.com/profile.json) · [llms.txt](https://nikunjkaushik.com/llms.txt) · [RSS](https://nikunjkaushik.com/feed.xml)*