anirbanbhattacharyya

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Alpha Cohort

Data science mentoring, resume optimization and mock interviews to help you sharpen skills and land your next role

Seasoned data scientist with more than 10 years of experience in data science

Anirban Bhattacharyya

Data Science Interview Coaching for Aspiring and Experienced Candidates

Master SQL for real-world data science interviews

Seasoned data scientist & educator

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Anirban Bhattacharyya 

Seasoned Data Scientist with 10+ years solving product analytics at scale.

Many aspiring data scientists know basic SQL, but struggle when faced with the kind of messy, ambiguous, business-driven questions that come up in interviews. The challenge is rarely just writing syntax. It is knowing how to translate a product question into the right metric, choose the right grain of analysis, join data correctly, avoid double counting, and explain your reasoning clearly.That gap can hold back otherwise strong candidates. You may understand SQL concepts in theory, but still feel stuck when asked to calculate retention, analyze an experiment, or debug a flawed query in real time.This workshop is designed to close that gap. Instead of teaching SQL as a list of commands, it teaches SQL the way it is actually used in data science interviews: through realistic product, growth, and analytics problems. Students will build confidence solving hands-on exercises that reflect real interview settings, from fundamentals to advanced topics like window functions and recursive CTEs.The goal is to help students move beyond memorizing syntax and become interview-ready problem solvers who can write clean SQL, reason through edge cases, and communicate like strong data scientists.

Aspiring Data Scientists Learners preparing for data science and analytics interviews who want to build strong, practical SQL skills.

Analysts Moving Upmarket Data and business analysts who know basic SQL and want to tackle more advanced, interview-style problems.

Product-Focused Data Professionals Data scientists and product analysts who want to sharpen SQL for funnels, retention, experimentation

Causal Inference for Real-World Decision Making

Learn when to use DiD, IV, RDD, matching, or synthetic control for real business questions.

Choose the Right Causal Method for the Problem

Spot weak assumptions, run diagnostics, and identify failure modes before trusting results

Validate Assumptions and Diagnose Failure Modes

Present causal findings clearly, explain caveats, and make recommendations stakeholders can act on

Learn directly from anirbanbhattacharyya

anirbanbhattacharyya

Workshops

SQL for data science interviews

Lightning Lessons

Causal Inference for Real-World Decision Making

Services

Data Science Interview Coaching for Aspiring and Experienced Candidates