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bilevel-optimization-emissions

Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.

classification_mental_health

Different classification models are used to classify if any employee is having any mental health consequences based on various categorical & numerical features.

emergency_response_vehicle_locating

In a network, emergency response facilities are to be allocated. At each facility, the number of response vehicles such as Fire Trucks or Ambulances are to be placed based on different policies such as minimize penalty, maximizing the weighted coverage.

machinelearning-operationsresearch-supplychainoptimization

This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use case to explain benefits of ML+OR together.

optimizing_shortest_path_maximum_resistance

An army is planning to attack all the locations of the castle in the shortest time with anticipation of maximum defense of the castle. A Mixed Integer Model is built to minimize the path traveled by the armies.

predicting-world-gdp-using-economical-social-parameters

We aim to predict the world gross domestic product (GDP) based on GDPs of various countries.

time_series_analysis_renewable_energy

Forecast the solar energy & wind speed using SARIMA model. The Data is collected at 5 minutes interval over the year.

travelingsalesmaninstanccomparison

The objective of the project is to learn, explore the usage of Python with PyCharm IDE, Usage of Gurobi's CallBack & Start attributes, formulated different formulations of the TSP and compare the computational time for randomly generated cities for any given number of cities.

tsp-heuristics

Implementing various heuristics for Traveling Salesman Problem (TSP), Namely Lin-Kernighan Heuristic, Nearest Neighbor Heuristic,

vehicle_routing_optimization

Minimizing the total distance traveled for a retail distribution center (DC). DC delivers goods weekly to its customer, 262 total weekly deliveries. The problem included vehicle capacity, time windows to serve the customers.

vrptw_using_heuristic_exact