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…

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

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

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.

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

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

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.

Bike rental prediction, blending predictive analytics and machine learning, optimizes inventory, pricing, and operations. It harnesses historical data, weather patterns, and time dynamics to enhance efficiency and elevate customer experiences.

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

Win Prediction - Project

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

Algorithmic Trading in R

Marketing Campaign Effectiveness (Prescriptive Analytics)

Performed segmentation analysis and predictive modeling on insurance broker performance to conclude a random forest model (highest AUC of 73%) predicted whether 2020 Gross Written Premium will increase or decrease from 2019 with a misclassification rate of 35%. Four classification models (classification trees, logistic regression, random forests…

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

This study presents a Smart Stochastic Scheduling (SSS) model for Robotic Process Automation (RPA) that effectively manages uncertainties in job runtimes.