Hey!

I'm Mohamad El Habbal

Hello there! I'm 19, originally from Lebanon, and spent the majority of my life in Dubai. I moved to London in 2021 and have been here ever since. I'm fluent in both English and Arabic.

Currently, I'm pursuing a degree in Computer Science at University College London (UCL).

I'm particularly interested in Quantitative Finance, having developed a leveraged ETF trading strategy that achieved a 63% compound annual growth rate (CAGR) over a 20 backtest.

Outside of the tech world, I've developed a keen interest in watchmaking, allowing me to blend creativity with attention to detail. What's particularly fascinating about this hobby is that it mirrors the importance of precision and quality that I value in my professional work.

Football is another passion of mine. I played for FC Barcelona football academy for ten years. This honed my collaborative abilities and taught me the value of teamwork and discipline, alongside being an enjoyable pursuit.

To sum it up, I'm an 19-year-old navigating the worlds of computer science, quantitative finance, and watchmaking in London. Looking forward to seeing where these interests take me!

DOB:

31 January 2005

Email:

modsamhabbal@gmail.com

MySkills

Skills

Python

90%

C

85%

Java

85%

HTML & CSS

80%

Excel

80%

Javascript

70%

Haskell

60%

MyEducational History

EDUCATION

My educational history

Computer Science, BSc (University College London)
2023 - 2026
Year 1 Modules:
- Discrete Maths
- Algorithms
- Engineering Mathematics in Finance
- Logic
A-Levels (Ashbourne College)
2021 - 2023
Maths: A* (1 year early)
Computer Science: A*
Further Maths: A
Physics: A

Ashbourne College
2021 - 2023
Yearbook Team Leader: Oversaw the yearbook team, managing photo collection and coordination, yearbook design, and liaising with printing companies.

Honour roll & academic scholarship recipient.
GCSES (Wellington International School)
2011 - 2021
11 A*s (including an A* in Maths 2 years early)

MyPortfolio

PORTFOLIO

Below is an overview of projects I have worked on, both in my spare time, and as part of school/university.

Leveraged ETF Trading Strategy 📈

Jul 2024 - Present

Technologies used
Python, yfinance, Technical indicators, numpy, pandas, matplotlib, csv

Description
I developed a robust, systematic asset-switching strategy designed to maximize returns by holding Leveraged ETFs over the long term while minimizing the impact of volatility decay. By leveraging periods of high volatility, the algorithm captures alpha and has demonstrated impressive performance in backtesting.

Over a 20-year simulation, the strategy achieved a Compound Annual Growth Rate (CAGR) of 63% and an annual Sharpe ratio of 1.11.

I have also written articles discussing volatility decay in Leveraged ETFs and volatility index ETFs.

Virtual Voice Assistant: Leo 🗣️

Aug - Dec 2022

A level Computer Science Coursework

Technologies used
Programming language: Python
APIs/Libraries: tkinter, JSON, WolframAlpha, speech recognition, pyttsx3

Description
I created a python AI voice assistant with a GUI capable of performing various tasks, including application opening, web searches, and knowledge-based queries using the Wolfram Alpha API. Focusing on user data privacy and access control.

MediScribe 🎙️ - FHIR Hackathon

Mar 2024 - Apr 2024

Technologies used
Python, JavaScript, JSON, Flask, FHIR database, CORS, SpeechRecognition

Description
As part of a collaborative team, I helped develop MediScribe, an innovative tool that automates the transcription of patient-doctor conversations into Electronic Health Records (EHRs), fully compliant with FHIR standards. The tool addresses a critical bottleneck in the NHS, where over 75 million hours are spent annually on manual data entry, aligning with the NHS Long Term Plan for “digitally enabled care.”

By implementing advanced Natural Language Processing (NLP) techniques, MediScribe accurately identifies and categorizes key medical information such as symptoms, medications, and diagnoses, while effectively distinguishing between patient and doctor dialogue.

To view the source code, click the button

Click here!

Excel Personal Finance Tracker 💸

Aug - Oct 2023

Technologies used
Pivot tables, Pivot charts, XLOOKUP, VLOOKUP, Conditional statements, Filter

Description

Designed and implemented a comprehensive Excel-based financial tracking system, empowering users to monitor expenses and gain insights through visualized data. Utilized pivot tables and VLOOKUP functions for data analysis.

Tetris AI bot 🧱

Nov 2023

Description
I created a Tetris AI bot algorithm focused on achieving the highest score by utilizing weighted heuristics. The algorithm considers key factors such as score, the number of lines cleared, the presence of gaps, bumpiness, and the shape of the next block.

Task Manager App 📅

Description
A task-managing app inspired by the concept of the Eisenhower matrix which sorts tasks based on Urgency and Importance.

Currently in progress.

Mohamad El Habbal

I'm a Computer Scientist 🧑‍🎓 Programmer ⌨️ Developer 🧑🏽‍💻 Data Scientist 📊 Quant 📈

Hey!