I am a Data Scientist working in AI research while completing studies at the University of Michigan. Earning my Masters in Applied Data Science with an AI concentration has been an exciting and rewarding process. I'm currently building and researching full stack data science systems focused on anomaly detection and AI reliability with emphasis in methods to reduce AI hallucinations.
| Project Repository Title | Skills Demonstrated |
|---|---|
| Three to Care | low hallucination modeling, knowledge graph, anomaly detection |
| Interview Prep Coach | multimodal AI, anamoly detection |
| Cyber Security threat modeling for vehicles | threat modeling |
| DARFS Makes a Difference | chain analysis, financial modeling, advanced EDA |
| Synthetic Threats | malware detection, unsupervised learning, supervised learning |
| CAN Bus Attack Simulation | attack surface simulation, cyber threat analysis, anomaly detection, surface hardening, machine learning |
| Current Cyber Threat Landscape | web crawler, prompt engineering, statistical analysis |
| Learning Analytics | Machine Learning Pipeline |
| Consumer Spend in Areas wtih High Rates of Functional Disability | extended EDA |
CCAT Certification |
Cyber Security: Data, Privacy and AI Security Specialization |
Cyber Security: Essentials for Forensics Specialization |
IBM Machine Learning Professional Certificate
