Python, Sql, Numpy, Pandas, R, Scikit-learn

Sql, Python, Pandas, device intelligence, feature engineering, scikit-learn, graph analysis, gradient-boosted trees, Biometrics

Sql, Git, Pandas, Numpy, Docker, XGBoost, Python, large tables, scikit-learn, window functions, PRECISION, LightGBM, Debugged latency issues optimized inference, Classification models, Auc, Deployed real-time ML models behind an API, recall, Production ML, Monitoring observability for ML systems, CTEs

containerization , Unit Testing, Tensorflow, Numpy, Nlp, Pytorch, Python, Machine Learning, Data Transformation, Api Development, Sql, Git, Data Quality, Pandas, Computer Vision, MLops, Spark, Clustering, Airflow, data pipelines, scikit-learn, multilingual NLP, MLflow, Statistical Modeling, graph analytics, LLMs, code reviews, tree-based algorithms, feature engineering

Pandas, XGBoost, Sql, Python, Logistic Regression, ensemble methods, scikit-learn, LightGBM, random forests, gradient boosting

snowflake , Sql, Tensorflow, Numpy, Pandas, BigQuery, AWS, Pytorch, Python, Azure, Gcp, XGBoost, Dcs, SCADA, Plc, Historian databases, Scikit-Learn, IoT sensors

Pandas, XGBoost, Python, Sql, Logistic Regression, ensemble methods, scikit-learn, LightGBM, random forests, gradient boosting