IT PROJECTS

This project performed process mining for Order-to-Cash Credit Management system using Celonis.

This project employed machine learning to predict airline performance based on crash statistics using Python.

This project analyzed Twitter data for disaster analysis/prediction applications using Python.

Using linear regression, this project provides salary predictions and a projected budget for an acquisition.

Using logistic regression, this project identifies the most ideal candidates to start a targeted NGO campaign.

Using neural net, this project identifies potentially dissatisfied customers to preempt customer churn.

Using association rules analysis, this project reveals affinity products and cross-selling/ revenue increasing opportunities.

Using clustering analysis, this project explores innovative power plans for an electric utility company.

Using correlation analysis, this project examines statistical relationships between variables that may affect housing values.

Using decision tree analysis, this project predicts wine quality based on a number of wine attributes to help a restaurant identify great quality wines.

Using cross validation, this project evaluates the accuracy of the decision tree model in predicting customers likely to be first adopters of e-book readers.

Using the MEAN stack, this project designed and developed a smart recipe app that can be searched by user selected criteria like available ingredients.

This project developed a Service Level Agreement for a fictional college IT service using ITIL framework.

This project developed a Relational Database Management System for a fictional restaurant using Oracle 12cL.

This project developed a fictional Alumni Contact Management System for Kennesaw State University using Java.

This project assessed the IT service of a multi-national company for vehicle technology based on ITIL v3 framework.

This paper surveyed current methods for facial recognition as biometric authentication.

This paper reviewed the concepts of object-oriented programming, how it developed, and why it is better.

This project surveyed cloud computing with Amazon Web Services for a fictional organization needing a LAMP stack.

This project combined election data from different sources using SQL Server Integration Services to provide BI.

This paper surveyed serverless computing pros and cons, and database security issues in serverless architecture.

Using SSIS, SSAS, and Power BI, this project provided enrollment and faculty workload analysis.

This paper examined blockchain technology and surveyed its usefulness in IoT networks to improve security.

This presentation introduced K-Means clustering and compared functionality of RapidMiner vs. Orange.

Enrollment Analysis project dashboard created using Power BI.

Registration analysis project dashboard created using Excel.