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  • University of Texas at Arlington
  • Arlington, Texas
  • LinkedIn in/franklinmo

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Thizisfranklin/README.md

Hi, I'm Franklin 👋

Data Science student at the University of Texas at Arlington

I'm interested in machine learning, statistics, and applied AI. AI especially intrigues me: how these systems work, what they can and can't do, and where the field is heading. I enjoy exploring those questions through data and building things that make ideas tangible.

LinkedIn

Featured projects

FraudGraph

Graph machine learning · Risk analysis

Compared transaction-only and graph-enhanced models to investigate whether Bitcoin transaction relationships improve illicit-transaction detection—and how well those results hold up over time.

Anfield Matchday Intelligence

Sports analytics · Forecasting

Explored unused and forwarded Liverpool FC tickets across two Premier League seasons, tested forecasting methods, and brought the analysis together in an interactive experience.

Retail Marketing Intelligence

Experimentation · Uplift modeling

Analyzed a randomized email campaign to understand which purchases were driven by promotions. Tested whether uplift-based targeting beat random selection; the held-out results didn't establish a clear advantage.

Tools

Languages & data: Python · SQL · pandas · NumPy
Machine learning: scikit-learn · XGBoost · NetworkX · PyTorch
Development & visualization: Git · GitHub · Streamlit · React · Plotly

Other work

SmartChurn · DiabetesWatch · HousePrice Evaluator · FarmGuard

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  1. Retail-Promotion-Targeting-Uplift-Modeling Retail-Promotion-Targeting-Uplift-Modeling Public

    Analyzed randomized email campaigns to measure incremental purchases and evaluate customer targeting.

    Python

  2. FraudGraph FraudGraph Public

    Graph-based fraud analytics — modeling how hidden relationships between users, devices, and transactions reveal coordinated fraud that transaction-level analysis can't see.

    Jupyter Notebook

  3. Anfield-Stadium-Ticket-Value-Revenue Anfield-Stadium-Ticket-Value-Revenue Public

    Examining how efficiently is Anfield's limited ticket inventory being used, and what patterns in ticket access, forwarding, unused seats, pricing, and match context could help improve ticketing de…

    Jupyter Notebook

  4. AGENTLENS AGENTLENS Public

    In design: an evaluation benchmark for an AI support agent in a simulated e-commerce store, measuring task success, tool use, policy compliance, reliability, latency, and cost.