Nikunj Kaushik profile picture

Nikunj Kaushik

Analytics, Data Science and AI

Who I am

About Me

Mu Sigma Analytics Consulting · Fortune 500 Ola Mobility · Logistics MPL Mobile Gaming Razorpay Fintech · Payments

9+ years of working with data - across Analytics and Data Science - with one consistent focus: turning analysis into business outcomes. Not dashboards for the sake of it, but work that directly influences revenue, retention, and growth.


At Mu Sigma, I worked with large enterprises across CPG, pharma, and technology - building frameworks that shaped how billion-dollar businesses made decisions. That's where I learned that the value isn't in the model; it's in what the business does with it.


Since then, across Ola, MPL, and now Razorpay - I've worked on the problems that matter most to a business: who's about to churn and why, which marketing spend is actually driving revenue, where growth is leaking, and how to simulate the P&L impact of a strategic decision before making it.


More recently, I've been building AI tools that give business teams direct access to their data - without needing an analyst in the loop for every question. That's the kind of leverage I think about now.

What I work with

Skills & Expertise

Data Analytics

SQL Python R Advanced Excel Power BI Tableau R Shiny Product Analytics Growth Analytics Marketing Analytics Revenue & FP&A

Data Science

Regression Classification Random Forest XGBoost Uplift Modeling Bayesian ML Experimentation & A/B Testing NLP Churn Prediction Forecasting

Data Engineering

BigQuery GCP AWS Amazon S3 Cloud Run Pub/Sub Data Pipelines VBA

AI & LLMs

Gemini API LLM APIs Text-to-SQL Prompt Engineering AI Product Building Automated Reporting

Free Consulting for Selected Businesses

As a way of giving back, I'm offering free 30-minute calls to a handful of small and growing businesses - in India and globally. If you're trying to understand where AI fits your operations, or need a clear-headed second opinion on your data strategy - reach out. If there's a bigger opportunity to work together on implementation, we can explore that separately.