Pyspark, Python, Airflow, RAG frameworks, LLMs, prompt engineering, Agentic AI, clinical trial data structures, R, Dagster, Kedro, ML frameworks

multinomial logistic regression, SAS, Tableau, Matlab, Sql, Python, R, AWS QuickSight, data pipelines, R Shiny

MLops, Python, Data Science, Version Control, Continuous Integration, Automated Testing, R, DataOps, Bioinformatics, workflow orchestration, cloud-scale data processing, knowledge-graph methods, computational biology, AI ML methods

data engineering , Data Transformation, Schema Design, Sql, Data Warehouse Concepts, Flask, Databricks, FastAPI, Python, Generative AI, Llm, R, Streamlit, data consolidation patterns

causal inference , Machine Learning, Cloud Azure, Unsupervised Learning, Deep Learning, Git, Pandas, Numpy, XGBoost, Spark, Databricks, Python, ML Flow, generative AI, reinforcement learning, Optimization, Statistics, Mosaic, CatBoost

Pyspark, Machine Learning, Cicd, Databricks, Azure, Python, Time Series Forecasting, ADF pipelines, Demand Forecasting

Python, Data Science, Machine Learning, Deep Learning, Model evaluation and validation techniques, Time-series analysis, Data Science and ML libraries, Responsible and explainable AI concepts

Statistical Analysis, Nlp, Machine Learning, Gitlab, Jira, Python, Sql, UNIX command line, Azure AI Search, Feature engineering

Predictive Analytics, Power Bi, Hypothesis Testing, Version Control, ADO, Code Management, Sql, Recommender Systems, Git, Google Analytics, Python, Machine Learning Algorithms, cloud platforms, ML Ops practices, R, Statistical Modeling, Experimental Design, Forecasting Models