Tensorflow, Pytorch, Pandas, Gcp, MLops, Azure, Python, AWS, Predictive Time Series modelling, Time Series modelling, scikit-learn

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

software engineering practices , data wrangling , Python, Machine Learning Algorithms, Advanced Analytics, Analytical pipelines, Machine learning libraries, Mathematical Modeling, Statistics

Linear Programming (LP), Mixed-Integer Linear Programming (MILP), Non-Linear Programming (NLP), Deep Learning, Software Development Lifecycle, Model testing, reinforcement learning, ETL data pipelines, Mathematical optimisation, Custom heuristics

Sql, Python, experimentation, Modeling

Power Bi, Sql, Python, Quick BI, Data Gathering

Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, XGBoost, Python, Sql, MLops, scikit-learn

S3, Tensorflow, Lambda, Kinesis, Pytorch, Python, AWS, Sql, Kms, MLops, Iam, Containers, cold start, Amazon SageMaker AI, Thompson Sampling, Hugging Face, vector databases, reinforcement learning, IaC, LinUCB, contextual bandits, off-policy evaluation, observability, LangChain, reward design, Step Functions, Exploration, Glue, Athena, CI CD for ML

BigQuery, Power Bi, Tableau, Sql, Databricks, Predictive Analytics, Statistical Analysis, Python, Generative AI, CPLEX, OR-Tools, Looker, Optimization, Vertex AI, Gemini, Gurobi, Large Language Models