Identified IntelliAuto company employees issue by using R to generate (1) Descriptive Analytics, (2) Visualization and Predictive Analytics, and (3) Prescriptive Analytics
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Updated
Jun 21, 2024 - R
Identified IntelliAuto company employees issue by using R to generate (1) Descriptive Analytics, (2) Visualization and Predictive Analytics, and (3) Prescriptive Analytics
This repository contains working files for MGMTMSA 406 offered at UCLA Anderson, and attempts to solve brain teasers in Causal Inference and Prescriptive Models.
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.
This project examines how actionable analytics can be applied within healthcare settings to better manage population health.
Determined bank customer’s subscription credibility by training ML model, achieving an accuracy of 88%. Visualized model predictions against past data to facilitate data-driven decision-making.
An end-to-end code solution involves performing EDA and sales prediction using time series analysis in R with ML models and evaluating their performance based on accuracy metrics.
In this repository, I have share notebook which contains recommender systems algorithms like apriori, collaborative filtering and SVD using surprise library of python.
This study presents a Smart Stochastic Scheduling (SSS) model for Robotic Process Automation (RPA) that effectively manages uncertainties in job runtimes.
Algorithmic Trading in R
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.
A solve and run template in tackling your everyday optimization problem, implemented in LINGO
This repository includes the code of all solutions implemented in my bachelor's thesis.
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…
Win Prediction - Project
Business Intelligence - NSW Crime (Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
Business Intelligence - Uber(Descriptive, Predictive, Prescriptive Analysis) - Tableau, 2020
This repository contains coursework for the Business Analytics Foundations course in the MS Applied Business Analytics program at Boston University.
Marketing Campaign Effectiveness (Prescriptive Analytics)
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