A collection of custom data structures and user-friendly functions for mathematical optimization modeling with DOcplex — IBM® Decision Optimization CPLEX® Modeling for Python.

Using advanced MIP decomposition techniques like Column Generation, Benders' Decomposition, Lagrangian Relaxation to solve CVRP and UFL with Gurobi (Python API) and CPLEX (C++ Concert Technology)

End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)

Solving the Uncapacitated Facility Location (UFL) problem in C++ with CPLEX (IBM ILOG Concert Technology)

Kaggle challenge / Google Analytics Customer Revenue Prediction in Python with LightGBM, XGBoost, CatBoost

Solving MINLP with AMPL/BARON and Constraint Programming with OPL/CPLEX