model selection , Pyspark, Neural Networks, Nlp, Python, Deep Learning, Machine Learning, Google Cloud Platform, Retrieval augmented generation, Embedding generation, Multi-modal models, Data Text Mining, Vector Databases, Classification, finetuning, LLM agents, Deep Learning Algorithms, prompt engineering

causal inference , Multi-Armed Bandits (MAB), Markov Decision Processes (MDPs), Mixed-Integer Programming (MIP), constrained optimization , Tensorflow, Scipy, Pytorch, Pyspark, Python, CVXPY, Gurobi, Price Elasticity Modeling, Q-Learning, Policy Optimization, Budget Allocation frameworks, Bayesian Optimization, Contextual Bandits, Counterfactual Evaluation, Offline Reinforcement Learning, Uplift Modeling

Sql, Spark, Python, heuristics, Integer Programming, Linear Programming, Classification, Operations Research, Regression, Time-series forecasting

Sql, Spark, Python, Predictive Modelling, Pandas, MLOps practices, Jupyter, AI agents, ML systems development, matching algorithms, cloud platforms, Forecasting, ML models, lift analyses

Redshift, Machine Learning, Hadoop, Apache Spark, Neural Networks, Python, Sql, Machine Learning Algorithms, R, Big Data tech stacks, Statistics, linear algebra

vehicle routing , Feature pipelines, Model deployment, heuristics, Network flow, Optimization methodologies, Optimization solvers, Model serving, Solver integration, Operations Research, Experimentation infrastructure, AI-native workflows

Deep Learning, Tensorflow, Machine Learning, Scala, XGBoost, Pyspark, Keras, Python, Random Forests, scikit-learn, MLlib, SVMs