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jt-473/README.md


πŸ‘‹ About

coding gif

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.



πŸ› οΈ Tech Stack

Languages

languages

Frontend & Design

frontend

Data & Analysis

data

Tooling & Creative

tooling

🧠 Data & Applied AI Focus

Domain Proficiency Details
Sports Data Science β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ Built a Python series over 49,000+ international matches to model the 2026 World Cup using Elo, form, and host advantage
Performance Analysis β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘ Match-footage analysis and structured reporting for coaches; improved simulated tactical accuracy by ~15%
Biomechanics / Physiology β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘ Movement analysis on 10+ subjects; VOβ‚‚ and blood-lactate testing to set training zones and thresholds
Applied ML / EdTech β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘ Co-built Lumideck's interactive study tools, tuning engagement through user feedback and testing

πŸš€ Featured Projects

⚽ 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
πŸ’° 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
πŸŽ“ 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
πŸ§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
πŸ“± 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

πŸ’Ό Experience

Performance Analyst Intern Β· Performa Sports, Belfast Jan 2026 – 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 – 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 – 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


πŸ† Achievements

Recognition Details
πŸ† Hack Belfast Runner-Up 2nd overall in a 24-hour hackathon (Brewstige, 5-person team)
πŸŽ–οΈ Ulster Dean's List 2024/25 Achieved a 70%+ average (certificate awarded)
🌟 Elevate Programme Selected as 1 of 8 from 180+ students for a competitive development cohort
πŸŽ“ Ulster EDGE Award Completed structured employability programme
🀝 Students as Leaders Leadership programme in teamwork, communication, and problem-solving

πŸ“œ Certifications & Programmes

Coaching

Industry & Creative


πŸ“Š GitHub Analytics

github stats streak stats top languages

πŸ… Trophies

trophies

πŸ“ˆ Contribution Activity

activity graph
contribution snake

🎯 Current Focus

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

🀝 Connect


Measure everything, coach the human, ship the product.

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