About Abhi
I’m a Product Data Scientist at Apple, where I support the App Store through end-to-end analytics and experimentation.
Over the past 8 years, I’ve worked across trading, machine learning engineering, and product data science—solving complex problems that blend business context with technical depth. I began my career as a crude-oil derivatives trader, transitioned into machine learning engineering at Dell where I led award-winning deployments, and moved into product data science to influence not just models, but high-stakes product decisions.
My expertise spans experimentation, applied machine learning, and stakeholder-driven analytics. I’m especially interested in how large language models and AI can meaningfully reshape product strategy—when applied with thoughtfulness and real-world grounding.
Above all, I believe great data science doesn’t just explain the past—it actively shapes the future.
▶️ Areas of Expertise: Experiment Design • Product Analytics • Data Visualization • Feature Engineering • Statistical Modeling • Model Deployment • Explainable AI • Deep Learning • Natural Language Processing • Time Series Analysis
▶️ Tech Stack: Python • R • SAS • SQL • Pandas • NumPy • scikit-learn • SciPy • PySpark • matplotlib • spacy • gensim • Hive • Plotly • Lime • SHAP • AWS • GCP • Docker • PyTorch • Tensorflow
▶️ ML Techniques: Regression, Classification, Ensemble Methods, Clustering, Dimensionality Reduction, Hypothesis Testing, Topic Modeling, Word Embeddings, Categorical Embeddings, Hyperparameter Optimization, Survival Analysis, Customer Lifetime Value, Market Basket Analysis.
Experience
- Senior Data Scientist, ProductJan 2022 - Present · 3 yrs 10 mosCupertino, California, United States · On-siteCurrent
Lead end-to-end analytics and experimentation for the App Store, supporting user-facing features that collectively drive over $300M in incremental annual billings. My work spans product innovation, large-scale experimentation, executive strategy, and applied machine learning across multiple critical domains. • Experimentation & Measurement: Designed and analyzed A/B tests for high-impact UX features, driving meaningful improvements in engagement and monetization. Built robust frameworks for product sizing, impact estimation, and long-term tracking. • Search & Ranking: Contributed to the development and evaluation of search recall and ranking systems, improving discoverability and relevance across billions of App Store searches. • AI & LLM Integration: Supported the design and analysis of LLM-powered features, including natural language search and content tagging features that enrich search and app discovery experiences. • Editorial & Content Strategy: Partnered with editorial and content teams to develop frameworks for understanding catalog dynamics, optimizing featured placements, and aligning strategy with user behavior. • Data Engineering & Self-Service Tools: Built scalable pipelines and self-service dashboards to democratize data access, reduce dependency on ad hoc queries, and empower PMs, analysts, and designers. • Executive Analytics: Delivered high-impact, high-visibility insights to senior App Store leadership—including Senior Directors and the App Store Product VP.
Education
- Oklahoma State UniversityMaster of Science - MS, Business Analytics
Grade: 4.0 Activities and societies: Phi Kappa Phi Honor Society, Business Analytics Student Association (BASA)
- Birla Institute of Technology and Science, PilaniBachelor of Engineering (B.E.), Electronics and Communication Engineering
Activities and societies: English Language Activities' Society (ELAS), Tennis Team, Department of Sponsorship and Marketing (DoSM) Co-founder: Verba Maximus, BITS Pilani's Annual Literary Festival
Skills
Other
TensorFlowPythonLinearMySQLPandasscikit-learnMatplotlibspaCyPlotlyAWSDockerData ScienceArtificial Intelligence (AI)R
At a glance
Experience8 years
Currently atApple · Full-time
Based inUnited States
Studied atOklahoma State University
Roles6
Skills30
LanguagesEnglish · Hindi
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