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

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

Gcp, Pyspark, Sklearn, Azure, Tensorflow, Python, Pytorch

causal inference , Deep Learning, Elasticsearch, XGBoost, Python, LangChain, PEFT, fine-tuning, vector databases, Pinecone, Time-Series Forecasting, LoRA, DSPy, AI agents, Classical ML, LlamaIndex, RAG optimization

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

Machine Learning, Python Programming, Model predictive control, Industrial IoT, Non-linear data-driven models, Optimization, DevOps collaboration, Advanced process control systems, Surrogate modeling