Rockwall Analytics is a business advisory service offering that delivers end-to-end solutions underpinned by a strong innovation and technology-driven focus. Our solutions are delivered in a highly efficient and effective manner through utilizing the latest data analytic and technology platforms

MIS 545 Data Mining Project - Predicting Music Genres based on musical attributes using R and predictive algorithms.

This project builds a machine learning framework for predictive maintenance of turbofan engines, estimating Remaining Useful Life (RUL) from the NASA C-MAPSS sensor dataset. Methods included anomaly detection with CUSUM and autoencoders, and LSTM models, achieving significant RMSE reduction over baselines.

ARIMA vs ARX forecasting on BMI-sorted pseudo-time medical charges + integer LP optimization for prevention program allocation, with a forecast-to-decision pipeline and sensitivity analysis.

ALL MACHINE LEANRING projects

A repository for predicting hotel arrivals in Switzerland using Google Trends data and evaluating its impact during the COVID-19 crisis.

A repository to keep learnings safe

NeproFind is a full-stack healthcare application that uses machine learning to analyze medical reports and predict the risk of IgA nephropathy, enabling early detection and data-driven insights.

A machine learning model that attempts to predict whether a loan from LendingClub will become high risk or not.

Group project for the course BUDT737: Enterprise Cloud Computing and Big Data

Pulse is a next-generation, AI-powered observability platform that unifies metrics, logs, traces, and incidents into a single pane of glass. Built for modern DevOps, SRE, and Platform Engineering teams, Pulse reduces Mean Time to Resolution (MTTR) by 75% through intelligent automation and an AI copilot

Real-time aircraft tracking with Kalman filtering and trajectory prediction