A scala library for IBM ILOG CPLEX

NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.

This is an implementation of AHP algorithm for multi-criteria decision-making and prescriptive analytics.

More than a billion of the rural merchants in the developing world commonly depend on hiring on-demand transportation services to commute people or goods to markets. The process of selecting the optimal fare involves handling decision-making characterised with multiple alternatives and competing criteria. Decision support systems are commonly us…

Prescriptive Analytics Case. A simple implementation of AHP and TOPSIS in python to help a human selecting a phone within an array of 10k celphone options based on a given budget.

Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign

Synaptans WorkforceSim is a free open-source web app for simulating the complex dynamics of a factory workforce – including workers’ daily job performance, personal interactions with their peers and supervisors, and attrition.

In this repository, I have share notebook which contains recommender systems algorithms like apriori, collaborative filtering and SVD using surprise library of python.

NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.

An automated decision-support system to analyse if an article of Argentine Media is worth based according to linguistic analysis of the text.

An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.

Algorithmic Trading in R

Identified IntelliAuto company employees issue by using R to generate (1) Descriptive Analytics, (2) Visualization and Predictive Analytics, and (3) Prescriptive Analytics

Business Intelligence - Uber(Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020

Using Optimal Classification/Prescriptive Trees (IAI), K-means clustering, XGBoost. MIT Machine Learning Under a Modern Optimization Lens term project, Fall 2024

End-to-end Business Intelligence solution for Brazilian e-commerce data. Features ETL pipeline, data warehouse, advanced analytics (descriptive, predictive, prescriptive), and PowerBI dashboard. Built with PostgreSQL, Pentaho, Python, and PowerBI.

Presentation on ethical challenges and solutions in Prescriptive Analytics with focus on Linear Integer Programming (LIP).

Prescriptive analytics suite using Linear Programming (LPP) and Transportation modeling to minimize healthcare supply chain costs.

AushadhiAI - An intelligent prescription analysis tool that uses AI to identify medications from uploaded prescriptions. Users can upload images (including iPhone HEIC formats) to get detailed information about medications, including indications, side effects, and drug interactions. Built with vanilla JavaScript frontend and Python backend.