Rohit Dhonukshe

About Rohit Dhonukshe

I’m a Data Science professional with expertise in machine learning, econometrics, and causal inference, focused on building real-world solutions at the intersection of analytics, decision science, and business strategy.My experience spans industry projects and entrepreneurial initiatives, where I’ve designed causal inference models, built scalable data pipelines, and applied advanced analytics to drive measurable growth. I thrive on taking ownership of ambiguous problems, figuring things out quickly, and delivering end-to-end solutions that bridge technical depth with business impact.I’m especially passionate about using causal methods and experimentation, to uncover what truly drives outcomes in marketing, growth, and strategy.Core Expertise:Causal Inference & Experimentation: Propensity Score Matching, Difference-in-Differences (DiD), Causal Forests, Double ML, Doubly Robust Estimation, Uplift Modeling, Incrementality, A/B Testing.Machine Learning & Data Science: Regression, Classification, Clustering, XGBoost, Recommender SystemsTools & Tech: Python, R, SQL, Spark, Scikit-Learn, PyTorch, PowerBI, Tableau, AWS, Azure, Git, GithubLeadership & Mindset: Entrepreneurial ownership, cross-functional collaboration, 0→1 executionMy long-term goal is to grow as a leader at the intersection of data, strategy, and entrepreneurship — driving measurable impact by combining technical rigor, business acumen, and a figure-it-out mentality.

Experience

1. Software Engineer

   Mma Marketing Management Analytics

   Feb 2026 — Present · New York, NY, US

Education

• Indiana University Bloomington

  Master of Science - MS, Data Science

• Motilal Nehru National Institute Of Technology

  Bachelor of Technology - BTech, Electrical and Electronics Engineering

  2018 — 2022