data wrangling , containerization , Apis, Gcp, Docker, Azure, Python, AWS, data pipelines, LLMs, cloud platforms, governance frameworks, Monitoring, ML models, model integration, model explainability, RAG, AI agents, bias mitigation, feature engineering, Deployment, responsible AI practices

three.js , Data Manipulation, Machine Learning, Tensorflow, Opengl, Python, CAD software, Boolean operations, algorithms for mesh manipulation, Ai, vector graph databases, Torch, prompt engineering, CGAL, geometric transformation, Blender, Rivet, Reporting

Sql, Python, Angular, Statistical Tools, Dash, Plotly, Data visualization tools

Tensorflow, Numpy, Machine Learning, Scipy, Pandas, Pytorch, Microsoft Azure, Digital Signal Processing, Python, Deep Learning, scikit-learn

Machine Learning, Apache Spark, Nlp, Docker, Statistical Analysis, Kubernetes, Python, Feature Engineering, R, LLMs for GenAI or Agentic AI

snowflake , MLops, Amazon Redshift, Python, LLMs, LLMOps, statistical significance techniques

Power Bi, Data Cleaning, Tableau, Sql, Data Visualization, Python, D3.Js, Data collecting, Data Handling, Data Analysis, Mathematics, Statistics, R

causal analysis , Machine Learning, Data Mining, Sql, Python, Recommendation Systems, user profiling, Ranking Models, Statistics

Tensorflow, Numpy, Pytorch, Pandas, Sql, Python, OpenAI API, LangChain, scikit-learn, Hugging Face