Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

snowflake , Machine Learning, Tensorflow, Nlp, Pytorch, Docker, Azure DevOps, Sql, Deep Learning, Keras, Kubernetes, MLflow, LangGraph, Vector Databases, GitHub Actions, Azure AI ecosystem, Azure AI Search, RAG architectures, LangChain, Generative AI, Semantic Kernel, Agentic AI, Statistical Modeling, Embedding Models

data quality control , data engineering , Databricks, Python, Sql, MLops, MLflow, Data pipeline automation, Model deployment, Reproducibility practices, Model inference, Inference pipelines, Model training

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

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

snowflake , Machine Learning, Pyspark, ELT, Spark, Databricks, Python, AWS, Etl, Feature Engineering, Model Evaluation, ML Algorithms, Statistical Modeling

Sqlalchemy, Machine Learning, Sql, Nlp, Git, FastAPI, Web Scraping, Python, Generative AI, LLMs, RAG, Prompt Engineering

Pandas, Seaborn, Pytorch, Python, Numpy, Matplotlib, Shapely, Sci-Kit Learn, GeoPandas, StatsModels