Portfolio / 2026
Data / AI / Systems
I build applied AI and analytics systems that turn complex business problems into clear decisions.
M.S. Information Systems candidate with a computer science foundation and experience across machine learning, financial analytics, research, and data systems.
Selected Work
Applied AI, predictive analytics, financial modeling, and data systems presented through focused case studies.
01
AI-assisted fraud scoring and decision-routing platform for healthcare insurance operations.
Streamlit-based fraud scoring dashboard with decision routing, business impact modeling, and responsible AI controls.
Fraud Detection / Decision Support / Responsible AI
02
AI-powered residential real estate prediction system for sale price and sale timing analysis.
200+ property features structured into a dual workflow for sale price and sale timing analysis.
Predictive Modeling / Real Estate Analytics / Sale Timing Analysis
03
Classification workflow for predicting perfect guest rating outcomes from listing features.
~0.815 validation ROC-AUC across structured and text-based listing features.
Classification / Feature Engineering / Model Evaluation
04
Risk-aware portfolio analytics workflow for benchmarking, simulation, and allocation analysis.
Portfolio analytics workflow covering Sharpe ratio, beta, drawdown, benchmark comparison, and Monte Carlo simulation.
Portfolio Optimization / Sharpe Ratio / Risk-Adjusted Returns
Experience
Professional experience across market intelligence, sustainability technology, and research automation.
01
March 2025 - July 2025
Fortune Business Insights
Supported market research and consulting work across ICT and semiconductor sectors by translating industry information into structured client-facing insights.
02
May 2024 - December 2024
EcoStart Ventures
Worked on sustainability-focused business development, customer profiling, supplier matching, and early AI-assisted recommendation workflows.
03
August 2024 - December 2024
Penn State Independent Study with Prof. Mark Gough
Worked on a Penn State independent study with Prof. Mark Gough, building automation pipelines to collect and structure legal contact data at scale.
Coursework
Computer science at Penn State, extended through graduate study in information systems at UMD Smith.
Undergraduate Foundation
Algorithms, databases, operating systems, theory, probability, statistics, and computer architecture.
Graduate Specialization
Applied AI, analytics, cloud systems, digital transformation, financial systems, and process analysis.
Active Workbench
A concise progress log for professional simulations and portfolio builds currently underway.
Task One — Modeling lounge eligibility at Heathrow Terminal 3
Contact
Open to data, AI, analytics, financial systems, and business-facing technical opportunities.
For opportunities, project discussions, or portfolio feedback, reach me directly by email.