causal inference , Databricks, Code Review, Python, double debiased ML, uncertainty quantification, heterogeneous treatment effects, scikit-learn, conformal prediction, regularized regression, gradient boosting, DoWhy, Experimental Design, EconML, optimization logic, Git-based workflows

causal inference , applied ML, Optimization, heuristics, Simulation, Forecasting, mathematical programming, decision methods, constraint programming

Tensorflow, SAP, Pytorch, Erp, Python, Deep Learning, Time Series Forecasting, Scheduling, Optimization, Mes

Tensorflow, Pytorch, Etl Tools, Python, Machine Learning Algorithms, Hadoop, Neural Nets, Hive, Spark, Keras, Clustering, anomaly detection, machine learning techniques, demand sensing, Heuristic LP, R, Market Intelligence, stochastic models, Map Reduce, SQL databases, GA, Gurobi, ensemble learning, time series optimizations, Regression, scalable ML frameworks, forecasting optimization, feature engineering

supply chain planning , Neural Networks, Python, XG Boost, Statistical and machine learning algorithms, Custom EDA, Output Validations, Applied analytical methods, Scalable ML frameworks, Demand sensing, Feature engineering, Light GBM, Time Series Forecasting, CatBoost

causal inference , Tensorflow, Scipy, Pytorch, Pyspark, Python, Distributed Processing, CVXPY, Optimization Decision Engines, reinforcement learning, Gurobi

Object-Oriented Programming (OOP), Unit Testing, Pyspark, Azure Databricks, Jira, Python, Azure DevOps, Forecasting and predictive modeling techniques, YAML configurations, Git and Version Control, Modularization, CI/CD pipelines

snowflake , prophet , Scipy, Pyspark, Sql, Tensorflow, Pandas, Pytorch, XGBoost, Arima, Databricks, Python, AWS, scikit-learn, time-series forecasting