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, MLops, Modeling, abuse-detection solutions, Statistical Modeling, GenAI technology, feature engineering

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

Power Bi, Tableau, Azure, Sql, Python, AWS, R, ML algorithms, Statistics

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

Tensorflow, Jenkins, Machine Learning, Nlp, Pytorch, Docker, FastAPI, Python, Kubernetes, Uvicorn

Machine Learning, Image Processing, Tensorflow, Git, Odbc, Cloud Infrastructure, Pandas, Linux Os, Osi Pi, Keras, Azure, Python, AWS, API services, IP21, Dynamic optimization, DCS systems, Scikit-learn, Statistics, First principles modeling, Agile development methodology, SCADA, OPC UA