I contribute to the Python ecosystem because I believe the best way to master a tool is to help build it. I'm driven by a developer help mindset. Every PR is an opportunity to solve real-world problems for the global developer community.

• duckdb/duckdb:

  • Contribution: Identified and provided a high-fidelity reproduction suite for an OutOfRangeException in statistical aggregate functions.
  • Impact: Isolated a math kernel issue where the try() safety wrapper was bypassed by the Binder, helping core maintainers stabilize the v1.5.0 release.
  • Status: Confirmed Bug & Investigation #14373

• joke2k/faker:

  • Contribution: Implemented the missing bank() provider for the en_GB locale.
  • Impact: Enabled thousands of developers to generate localized, structurally accurate UK banking data for testing.
  • Status: Merged PR #2332

• ThomasBury/pyragify:

  • Contribution: Engineered an optimized YAML configuration for high-fidelity repository visualization (Text2Flow).
  • Impact: Reduced LLM context clutter and optimized RAG pipelines by scaling word-count limits to preserve complex flowchart grammars.
  • Status: Merged PR #2

• PyMongo, MySQL and other backend service patterns
• Advanced CLI design with menus and persistent data
• Improving my testing capabilities with Pytest
• Better UI/UX patterns in Python frameworks

Any of my projects - dashboards, apps, tools, or experiments If something you see on my repo does interest you, I am always happy to work together and grow.

Anything that can improve my projects - architecture, testing, UI, or performance. Reach out - don't be shy. 😊 I'm open to feedback and contributions.

• Python application structure
• Dashboards and UI frameworks
• Data handling and storage
• Turning ideas into working tools
• My projects
• Basically, ask me anything you like 😊

📧Email me

An end-to-end Machine Learning microservice that detects high-risk financial transactions using XGBoost. Featuring a real-time Flask API and an interactive risk-dashboard, it demonstrates a complete AI pipeline from synthetic data generation to live visual analysis. 🔗 Repository: https://github.com/reory/Invoice-Fraud-Detector-Service Tech used Faker, Pandas, scikit-learn, XGBoost, Imblearn, Flask, Pydantic, Joblib

A specialized web scraping tool built to extract property data from highly secured UK real estate platforms. This project was a deep dive into bypassing modern anti-bot measures and handling dynamic JavaScript rendering using browser automation. 🔗 Repository: https://github.com/reory/UK-Real-Estate-Scraper Tech used Selenium, Beautiful Soup4, Pydantic

An interactive Dash application with mapping, population charts, wikipedia API integration, themes, and multiple layouts. Fully tested with Pytest. 🔗 Repository: https://github.com/reory/Interactive-City-Dashboard Tech used: Dash, Flask, Plotly, APIs UI/UX, data visualisation

A Flet based health and medication tracker with reminders, scheduling, and persistent storage using SQLite and JSON. Fully tested with Pytest. 🔗 Repository: https://github.com/reory/Health-Tracker-App Tech used: Flet, SQLite, JSON, Pytest, UI/UX design

A sleek CustomTkinter radio player powered by a VLC component, integrated with search, flags, and live metadata. 🔗 Repository: https://github.com/reory/Internet-radio-python Tech used: CustomTkinter, VLC, API Integration, UI/UX design

A Django + Kivy transit app prototype with a mobile-friendly and ready interface, with a simulated engine. 🔗 Repository: https://github.com/reory/bus-app Tech used: Django, Kivy, Mobile UI concepts

A data‑driven traffic insights tool built with Pandas, NumPy, Folium, Matplotlib, and Reverse Geocoder, delivered through an interactive Streamlit interface. It processes regional traffic datasets, visualises accident patterns, and generates an automated PDF report for clear, actionable analysis. 🔗 Repository: https://github.com/reory/west_yorkshire_traffic_analysis Tech used: Pandas, NumPy, Matplotlib, Reverse Geocoder, Streamlit, PDF reporting

• Building interactive CLI tools with menus and persistent data
• Continually learning about other libraries in Python, e.g., PyMongo and backend service patterns
• Strengthening testing discipline with Pytest
• Contributing to open-source projects
• Refining UI/UX in Python apps

• Python Developer with a background in logistics, data administration, and data analysis
• Passionate about building practical, user-friendly applications.
• Strong attention to detail, structure, and reliability
• Enjoy turning ideas into polished, working software
• Always learning and always improving — that's me 😁