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

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

Cloud Technology, Deep Learning, Python, Machine Learning, Azure cloud platform, OCR technology, R, algorithmic problem solving

Logistic Regression, Cluster Analysis, Text Mining, Sql, Nlp, Linear Regression, Python, Decision Trees, Forecasting, Linear Optimization, NLG, Semantic model NER, Gradient Descent, NLU, Azure services for ML GenAI projects

Gemini Enterprise Agent Platform (formerly Vertex AI), BigQuery, Google Cloud Platform, Power Bi, Agile Scrum, Tableau, Sql, Cloud Storage, Pandas, Numpy, XGBoost, DataFlow, Python, MarTech, CI/CD tools, scikit-learn, ADTECH, Looker, BigQuery ML, Looker Studio

Machine Learning, Data Visualization, Python, Sql, Deep Learning