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

Predictive Modelling, Sql, Python, graph analytics, experimentation frameworks, anomaly detection

Reinforcement Learning from Human Feedback (RLHF), Dynamic Programming, benchmarking analysis, Throughput, Data Analysis Tools, product optimization, Simulation Methods, constraint programming, Capacity Planning, Quantitative Analysis, Prioritization, Operations Research, Data Analysis, Electronics Manufacturing, Mathematical optimization, Capacity Building

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

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

Databases, Machine Learning, Sql, Python, Data Pipelines, Model Deployment, Analytics Tools, Statistics

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