Data Science, Machine Learning, Pyspark, Python, Time Series Forecasting

Python, Data pipelines production ML and model deployment, AI-assisted coding workflows and coding agents such as Codex, Technical mentorship and communication, Production-quality code testing code review and reusable package design, Open-source contribution and reusable package development, Azure and Databricks environments, Applied statistics modeling and rigorous evaluation, Experience in optimization forecasting experimentation or generative AI

Causal inference (difference-in-differences, instrumental variables), Python, Sql, Data enablement, AI and generative AI tooling, propensity score, synthetic control, Product analytics, Event instrumentation

causal inference , Advanced Analytics, Dashboards, Monitoring Tools, Sql, data pipelines, Statistics, Ai, experimentation modeling

simulation modeling , Recommender Systems, Unsupervised Learning, Python, R, Numerical Optimization Techniques, Convex Optimization, reinforcement learning, ML Data Engineering Tools and Platforms, Linear Programming, Data Science Concepts

Machine Learning, Data Science, Analytics, data platform, analytics architecture

Python, Sql, R, Statistical Modeling, experimentation design

Instrumentation, product-led growth, experimentation, Analytics, AI tools, content community SEO, search discoverability, paid acquisition, growth marketing

Sql, Databricks, Ml, Data Factory, Software Engineering, MLops, Data Science, App Services, Python, Azure, Azure ML, GenAI patterns, LLMs, Foundry, OpenAI, Claude, Gemini, Ai, LLMOps, CI CD, RAG, prompt engineering