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

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

SAS, Tableau, Matlab, Python, Sql, AWS QuickSight, R, R Shiny

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

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

Sql, Numpy, Seaborn, Git, Pandas, Matplotlib, Opencv, Databricks, Python, scikit-learn, AutoGluon, Mosaic ML, H2O.ai, YOLO, MLFlow, AutoML

causal inference , Ml, Dashboards, Advanced Analytics, Sql, Data Science, Bi Reporting, Python, Marketplace Integrity, moderation, Ai, Experimentation design, anomaly detection, Analytics, Risk Fraud, Trust Safety, Streaming Data, Fraud risk detection