Logistic Regression, Pyspark, XGBoost, Random Forest, Python, Sql, Gradient Boosting Models, Machine Learning Models, LightGBM

commodity pricing , Machine Learning, Python, Statistical Analysis, Sql, Forecasting, Ai, Time-Series Modelling, Quantitative Techniques, Market Fundamentals

Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Python, hyper-parameter optimization, pipeline development, Visualization, Amazon Quick Sight, Data Processing, object-oriented programming, data platforms, CI CD, Scikit-Learn, Transformation, model validation, test-driven development, AWS SageMaker, data ingestion, feature selection

data warehouses , Machine Learning, Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Data Analytics, Python, Etl, data pipelines, Scikit-Learn, AWS SageMaker

Numpy, Pandas, Power Bi, Tableau, Data Visualization, Python, Sql, Quick BI, Scikit-learn, ETL workflows

Machine Learning, Bi Tools, Python, Sql, Cloud Technologies, R, Statistics, Ai, Forecasting

triton , S3, Ec2, Terraform, Docker, Python, Git, Cloudwatch, Iam, Helm, Kubernetes, GitOps tools, Ray, MLflow, LangGraph, PrivateLink, GPU instances, TensorRT-LLM, LangChain, Agent-to-Agent A2A, SageMaker AI, vLLM, EKS, MCP, ArgoCD, AWS Cloud AI Services, Amazon Bedrock, LlamaIndex

Tensorflow, Pytorch, Docker, FastAPI, Python, computer vision models, TensorRT, data pipeline tools, LLM application development, vector databases

causal inference , Machine Learning, Python, Sql, Data Analysis, Statistics, Simulation, Optimization, Modeling Libraries