Hi, I'm
Muhammad
Moosa
Computational Finance student at NED University with a strong research focus in financial technology, building data-driven analytics platforms and scalable software systems.
Who I Am
I'm a Computational Finance student at NED University of Engineering & Technology (2023–2027), passionate about the intersection of technology and finance. I build data-driven applications that turn complex financial data into actionable insights.
My background blends quantitative finance fundamentals with strong software engineering skills—Python, REST APIs, full-stack web dev, and cloud infrastructure. I've interned at JS Investments where I built analytics and automation tools for asset management research.
Driven by a strong research interest in capital markets, algorithmic strategies, and quantitative model development, I am actively seeking opportunities in quantitative finance, investment research, and financial engineering.
What I Work With
Financial & Data Analysis
Programming Languages
Backend & Web
Databases
Cloud & DevOps
My Journey
Software Engineering Intern — IT Department
JS Investments
- Developed Python-based data collection and analytics tools to analyze digital engagement trends across asset management companies.
- Built automation workflows for collecting and processing social media data across LinkedIn, Instagram, and Facebook.
- Worked with structured datasets, APIs, and analytics pipelines to support internal analysis initiatives.
BS in Computational Finance
NED University of Engineering & Technology
- Studying at the intersection of mathematics, finance, and computing.
- Coursework covers financial modeling, quantitative analysis, econometrics, and software engineering.
Pre-Engineering (HSSC)
Government College for Men Nazimabad
Matriculation (SSC)
Al-Murtaza School
Things I've Built
A selection of my recent work spanning fintech, web apps, and developer tools.
PSX Grid
AI-Based Stock Analysis Platform
An AI-integrated analysis platform for the Pakistan Stock Exchange. Utilizes a RAG (Retrieval-Augmented Generation) system to provide data-driven insights and automated research reports on PSX-listed companies.
Media Fetcher
Chrome Extension
A Chrome Extension that scans and fetches all media types (images, videos, audio) from any webpage, providing easy batch download options.
Credentials
Harvard University
CS50x — Introduction to Computer Science
Algorithms, data structures, C, Python, SQL, and web development fundamentals.
Harvard University
CS50P — Introduction to Programming with Python
Deep dive into Python: functions, loops, OOP, libraries, and real-world problem solving.
Harvard University
CS50W — Web Programming with Python & JavaScript
HTML, CSS, JavaScript, React, Django, testing, and scalability.
AI Engineer — Artificial Intelligence & Computing
Machine learning, neural networks, cloud infrastructure, and AI engineering.
Let's Talk
Whether it's a project, opportunity, or just a hello — my inbox is open.