causal inference , Git, Databricks, Python, double debiased ML, uncertainty quantification, price elasticity estimation, heterogeneous treatment effects, scikit-learn, Experimental Design, optimization logic

model development , Machine Learning, Pyspark, Predictive Modeling, Python, anomaly detection, model production deployment, GE EMS, model validation, Digital Alliance, Statistical Modeling, Palantir Foundry, Skywise, feature engineering

Machine Learning, Predictive Analytics, Statistical Modelling, Python, Sql, Forecasting, Price Elasticity Pricing Analytics

Data Analytics, Deep Learning, Tensorflow, Git, Pytorch, MLops, Azure, Python, AWS, data management tools, Data Communication, statistical programming

Jenkins, Machine Learning, Git, Azure Data Factory, Pyspark, Apache Spark, Azure Databricks, Statistical Modelling, Python, Sql, Spark MLlib

Microsoft Excel, Python, R, Data Handling

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

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Python, Sql, Google Cloud, AWS, Scikit-learn

Hadoop, Natural Language Processing, Sql, Google Cloud, Computer Vision, Spark, Python, AWS, GANs, fine-tuning, Transformers, LLMs, generative AI, multimodal learning, perceptual quality metrics, deep learning architectures, prompt engineering, R, user-in-the-loop testing, ML evaluation techniques, diffusion models