I am a second-year university student who builds software and works with data.
My work sits where data science, full-stack development, and product building meet. I ship Python data pipelines, web apps, and early-stage startup products, turning messy data into clear, usable insight.
- Working as a Performance Analyst Intern, turning footage and data into insight
- Building data science projects in Python (49,000+ match dataset, World Cup prediction model)
- Co-founding Lumideck, an AI EdTech study platform
- Placed 2nd at Hack Belfast with a gamified cafΓ©-discovery app
Open to: internships and graduate roles in data science, software engineering, and product.
| Domain | Proficiency | Details |
|---|---|---|
| Sports Data Science | ββββββββββ | Built a Python series over 49,000+ international matches to model the 2026 World Cup using Elo, form, and host advantage |
| Performance Analysis | ββββββββββ | Match-footage analysis and structured reporting for coaches; improved simulated tactical accuracy by ~15% |
| Biomechanics / Physiology | ββββββββββ | Movement analysis on 10+ subjects; VOβ and blood-lactate testing to set training zones and thresholds |
| Applied ML / EdTech | ββββββββββ | Co-built Lumideck's interactive study tools, tuning engagement through user feedback and testing |
β½ World Cup Predictor β Data Science Series
A Python data science series that analyses 49,000+ international football matches to forecast the 2026 World Cup, applying performance-analysis principles across form, host advantage, and Elo ratings.
| Aspect | Detail |
|---|---|
| Stack | Python, Pandas, NumPy, Matplotlib |
| Scale | 49,000+ historical matches |
| Method | Elo rating, recent form, home/host advantage |
| Output | Tournament simulation and match-level predictions |
| Impact | Bridges sports science analysis with reproducible data modelling |
π° NetWorth β Personal Finance App
A finance app that links bank and investment accounts to track net worth in one place: spending, subscription detection, savings goals, and a real-time safe-to-spend figure.
| Aspect | Detail |
|---|---|
| Stack | Full-stack application, account aggregation |
| Features | Net-worth tracking, subscription detection, savings goals |
| Focus | Real-time financial clarity from linked accounts |
| Impact | Daily personal tool for managing money end to end |
β Brewstige β Hack Belfast Runner-Up
A gamified cafΓ©-discovery app built in a 24-hour hackathon with a 5-person team. Placed 2nd overall.
| Aspect | Detail |
|---|---|
| Role | UI, reporting, product development |
| Timeframe | 24-hour build |
| Result | 2nd place Β· early client interest |
| Traction | 4 business meetings secured within 24 hours |
π Lumideck β AI EdTech Startup (Co-Founder)
A study platform with interactive flashcard tools, improving learner engagement through iterative feedback and testing.
| Aspect | Detail |
|---|---|
| Role | Co-Founder |
| Product | Interactive flashcard / study tools |
| Approach | Feedback-driven iteration and user testing |
| Impact | Improved user engagement across test cohorts |
π§ͺ STEM Research Agent
A Python AI agent that pulls research papers and generates charts, built as a self-directed engineering project.
| Aspect | Detail |
|---|---|
| Stack | Python |
| Function | Paper retrieval + chart generation |
| Repo | github.com/jt-473/stem-research-agent |
π± Life Quest β Gamified Life-Skills Platform
A designed and presented EdTech concept for ages 16-25 covering personal finance, career readiness, communication, wellbeing, and independent living through interactive learning.
| Aspect | Detail |
|---|---|
| Type | Product design + presentation |
| Audience | Ages 16-25 |
| Themes | Finance, careers, wellbeing, independent living |
Performance Analyst Intern Β· Performa Sports, Belfast
Jan 2026 β Feb 2026
Turned raw match footage into structured insight coaches could act on.
- Analysed 20+ hours of match footage to surface trends and support feedback
- Compiled clear, organised reports from video and data analysis
- Interpreted data and communicated insights in a live sporting environment
Performance Analysis Β· Data Reporting Β· Video Analysis Β· Communication
Pick and Packer Β· Next / Bondelivery, Belfast
May 2025 β Present
- Pick, pack, and prepare customer orders accurately in a fast warehouse
- Coordinate with colleagues to hit daily deadlines
- Maintain productivity under pressure with strong time management
Teamwork Β· Attention to Detail Β· Time Management
Crew Member Β· McDonald's, Belfast
Oct 2023 β Dec 2024
- Delivered customer service in a high-pressure, high-volume setting
- Rotated across order prep, cashier, and hygiene standards
- Adapted quickly through peak periods, building resilience
Customer Service Β· Multitasking Β· Resilience
| Recognition | Details |
|---|---|
| π Hack Belfast Runner-Up | 2nd overall in a 24-hour hackathon (Brewstige, 5-person team) |
| ποΈ Ulster Dean's List 2024/25 | Achieved a 70%+ average (certificate awarded) |
| π Elevate Programme | Selected as 1 of 8 from 180+ students for a competitive development cohort |
| π Ulster EDGE Award | Completed structured employability programme |
| π€ Students as Leaders | Leadership programme in teamwork, communication, and problem-solving |
Coaching
Industry & Creative
name: Jovan Tomy
role: Second-Year University Student + Software Builder
based_in: Belfast, Northern Ireland
learning:
- Sports data science & performance analytics
- Building production-ready web apps
building:
- World Cup prediction models in Python
- Lumideck (AI EdTech study platform)
exploring:
- Machine learning for athlete performance
- Product & UX design
open_to:
- Performance analysis internships
- Sports data / software engineering roles