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
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.
NPM module with an implementation of TOPSIS algorithm for multi-criteria decision-making systems.
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.
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
Business Intelligence - Uber(Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
Win Prediction - Project
This repository contains coursework for the Business Analytics Foundations course in the MS Applied Business Analytics program at Boston University.
Identified IntelliAuto company employees issue by using R to generate (1) Descriptive Analytics, (2) Visualization and Predictive Analytics, and (3) Prescriptive Analytics
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…
Algorithmic Trading in R
This is an implementation of AHP algorithm for multi-criteria decision-making and prescriptive analytics.
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