data preparation , Machine Learning, Pyspark, Spark, Sql, Python, Statistical Analysis, feature engineering, MLOps principles

.NET, bedrock , S3, Tensorflow, Lambda, Pytorch, Javascript, XGBoost, Python, AWS, Redshift, Sql, ECS, Machine Learning, Databricks, LangChain, Generative AI, LightGBM, Scikit-learn, EKS, SageMaker, Large Language Model, Athena, LlamaIndex

probability , Python, pricing routines, Data Analysis, credit valuation adjustments, Valuation Models, computing efficiency

Aml, Microsoft Excel, bsa, Crypto, CDD, EDD, Kyc, Microsoft Powerpoint, Tm, Microsoft Word

Github, Cassandra, PostgreSQL, SAS, Tensorflow, Numpy, Pytorch, Docker, MySQL, Spss, Gitlab, Python, Matplotlib, Sql, Jenkins, Git, Pandas, Seaborn, MongoDB, scikit-learn, R, Dask, Podman, Gurobi, Plotly, IBM CPLEX

probability , Database Systems, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Databricks, Azure, Python, AWS, cloud platforms, machine learning libraries, data visualization tools, R, Statistics

Excel, Data Analysis, Market research, Powerpoint, Industry Analysis, Competitive Benchmarking, Stakeholder Management

Data Modeling, Tensorflow, Numpy, Pandas, MLops, Pytorch, Spark, Python, API-based model integrations, data transformations, data pipelines, scikit-learn, data quality management, Tool-using agents, CI CD, Retrieval-Augmented Generation, GenAI applications, Prompt orchestration, feature engineering, Agentic workflows, Evaluation frameworks, QA risk management, model monitoring

Docker, API development and integration, Python, AI system design, performance optimization, NLP concepts, deployment pipelines