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

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

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

Github, Scipy, Deep Learning, Numpy, Git, Pandas, MLops, Gcp, Azure, Python, AWS, Generative AI, Search Relevance Techniques, Semantic Retrieval, Personalization Models, Learning-to-Rank models

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

snowflake , S3, Pyspark, Sql, Lambda, MLops, Docker, Python, Kubernetes, AWS, Airflow, embeddings, Generative AI, fine-tuning, LLMs, SageMaker, ECR, ML techniques, GeoPandas, RAG

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

Apache Airflow, Amazon Redshift, Python, Sql, AWS, model development techniques