I’m a Master’s student in Data Science at New York University, building on over 5 years of experience as a Product Analyst. My work has focused on turning data into meaningful insights that drive decisions and measurable outcomes. I’ve tackled challenges in industries like programmatic advertising, food delivery, and health tech, addressing operational efficiency, growth and retention , customer behavior and segmentation.

I specialize in designing experiments, uncovering root causes, and keeping decision-makers data-informed—whether it’s through detailed measurement frameworks or actionable reporting. I’ve collaborated with a wide range of stakeholders, including business leadership, product managers, analytics , operations, finance, and HR, often leading initiatives and working closely with tech and product teams to deliver impact.

What makes me stand out is my ability to manage the entire data lifecycle—from data collection , storage , processing to insights, experimentation, solutioning (for data products), measurement, and automation—before transferring ownership to tech for scalability. I see myself as a strategist who connects the dots between data and business, ensuring every decision is grounded in measurable value and aligned with organizational goals.

Currently, I’m diving into classic machine learning techniques and use cases, building on a foundation rooted in the undeniable importance of numbers. After all, who can truly skip statistics? It’s the language of patterns, the backbone of decision-making, and the lens through which I decode everyday challenges. Whether uncovering hidden insights or guiding impactful strategies, I see data not just as numbers but as the key to understanding and shaping the world around us.

• Programming & Visualization: Python (Pandas, NumPy, Matplotlib, Scikit-learn), SQL, Hive, Tableau, Metabase
• Cloud & Infrastructure: AWS (SageMaker, Redshift), Snowflake
• Machine Learning & Analysis Techniques: A/B Testing, Comparative Analysis, Cluster Analysis/Segmentation, Experiment Design, Optimization Techniques, Bayesian Data Analysis

Probabilistic Machine Learning
Leveraged Bayesian regression to estimate price elasticity for Hass avocados, predicted sales volumes across pricing strategies, and proposed profit-maximizing prices with quantified uncertainty based on multi-channel retail data.

Hypothesis Testing
Analyzed a movie ratings dataset of 1,097 participants and 400 movies to explore viewer preferences and behavior, using hypothesis testing to address research questions like gender-based differences, social watching effects, and franchise consistency, delivering actionable insights.

Regression Analysis
Developed a Fire Weather Index (FWI) prediction model using meteorological data, applying Linear, Ridge, and Lasso regression to analyze wildfire risk across two regions in Algeria.

Swing Score Calc Developed a swing score to identify swing states in U.S. presidential elections and analyzed key demographic factors linked to swing state behavior.

HealthifyMe | Bangalore, India | 03/2023 – 07/2024

• Contributed to a supervised ML model using SQL, Python, and AWS (Redshift, SageMaker) for feature engineering and pipeline setup, improving lead quality and operational efficiency.
• Created dashboards in Metabase and Tableau for a $120K/month sales funnel, improving team efficiency by 25%.
• Co-led A/B testing for Healthify’s app overhaul, validating hypotheses for 5+ features during a phased rollout.

Swiggy | Bangalore, India | 05/2021 – 01/2023

• Developed a geospatial analysis framework and optimized last-mile routing, achieving an 18% efficiency improvement.
• Reduced customer complaints by 5% through root cause analysis and performance tracking dashboards.

MiQ Digital | Bangalore, India | 12/2020 – 05/2021

• Led audience analytics using Hive/PySpark for digital campaigns, driving 10% incremental reach.

Deloitte | Bangalore, India | 01/2019 – 11/2019

• Automated training environment configuration, reducing setup time from 3 hours to 30 minutes.

• Master of Science in Data Science
  New York University | New York, USA | 11/2024 – 04/2026

  • Relevant Coursework: Introduction to Data Science, Probability and Statistics, Programming for Data Science

• Bachelor of Technology in Computer Science
  Vellore Institute of Technology | Vellore, India | 06/2015 – 04/2019

• Email: ab12615@nyu.edu
• LinkedIn: linkedin.com/in/abhinavbatra06
• GitHub: github.com/abhinavbatra06