probability , Tableau, Tensorflow, Numpy, Pytorch, Azure Functions, Docker, Python, Matplotlib, Power Bi, Apache Spark, Sql, Azure ML, Pandas, Databricks, Seaborn, Rest Apis, scikit-learn, MLflow, Cloud Run, GCP Vertex AI, Model evaluation techniques, Dask, SHAP, ML algorithms, Plotly, linear algebra, LIME, Statistics, optimization fundamentals

Deep Learning, Recommender Systems, Machine Learning, Computer Vision, Bayesian models, optimization methods, LLMs, data science solutions, statistical modeling techniques, deep neural networks

React, Flask, Python, Shiny, R, Streamlit

Pyspark, Tensorflow, System Design, Python, Computer Vision, Recommendation engines, Generative AI, Vector DBs, Torch, Graph Knowledge Bases, Image Understanding models, Large-scale Search systems

snowflake , BigQuery, Sql, Azure ML, Pandas, XGBoost, Databricks, Python, Polars, scikit-learn, LightGBM, AWS SageMaker, Vertex AI, CatBoost

Machine Learning, Tensorflow, Pytorch, Flask, FastAPI, Python, LangChain, AWS Bedrock, RAG systems, Pinecone, Anthropic, Azure OpenAI, LLM fine-tuning, agent-based workflows, Milvus, ChromaDB, OpenAI, Weaviate, Cohere, LlamaIndex, Haystack

Tensorflow, Pytorch, Sql, Python, R, Scikit-learn, ML libraries

Python, Sql, Time-series modelling, Probabilistic forecasting, Optimisation techniques, Regression, Statistical models, ML models