I am a Computer Science student at SSUET, focusing on full-stack web applications, React Native mobile solutions, and building foundations in AI and Machine Learning.
// CS Student & Developer
const developer = { stack: ["Node.js", "React Native"], learning: "AI / ML", status: "open_to_work" };
// Live Status
{ "repos": 6, "graduation": 2028, "university": "SSUET", "focus": "full-stack + AI/ML" }
Hi! I'm Muhammad Zeeshan Siddiqui. Currently pursuing my Computer Science degree (Class of 2028) at Sir Syed University of Engineering and Technology (SSUET).
I am passionate about solving computational problems and writing elegant code. My technical focus ranges from full-stack web development with JavaScript and Node.js to automated scripting in Python, mobile development with React Native, and understanding deep-level AI/ML structures.
I enjoy building tools that optimize daily activities or analyze data sets to uncover hidden insights. I am always eager to learn new libraries and frameworks to refine my development skills.
Building responsive web applications using Node.js, Express, HTML/CSS, and MySQL backends.
Exploring Generative AI, Large Language Models (LLMs), and cloud-based machine learning fundamentals.
Designing modern, responsive mobile applications featuring integrated third-party APIs.
Turning raw datasets into interactive Power BI dashboards and Python/Pandas analyses, from data cleaning to DAX measures and visualizations.
Using Python and API integrations to automate tasks, fetch information, and parse datasets.
A 4-page interactive Power BI dashboard built from a 700+ row raw e-commerce dataset, covering sales, customer, product, and fulfillment performance. Includes 6+ custom DAX measures, a cleaned Power Query pipeline resolving data-quality issues across 16 columns, and a custom navigation home page linking every view.
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FinancePro is a full-stack web application designed to help users track their financial health by managing income, expenses, and monthly budgets. Built with a focus on data integrity and real-time visualization.
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A virtual assistant named "SHARK" which can do basic automated tasks like opening different websites, telling jokes, fetching news, and running climate widgets using Python script controllers.
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A full-stack, QR-code based library management system featuring student self-issue/return workflows, an active loan tracking dashboard with real-time fine calculation, and administrative metrics control panels.
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An exploratory data analysis of 8,000+ Netflix titles using Python and Pandas, applying 10+ data-wrangling techniques and producing 6 Matplotlib visualizations covering content type, ratings, movie durations, release trends, and country-level distribution.
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Your open-source personal hub containing active markdown statistics, automation workflow tokens, active repository listings, and profile metadata configurations.
Read DetailsDeveloping full-stack web applications using modern technologies. Building responsive front-end interfaces and scalable back-end APIs, and collaborating with mentors on real-world development projects.
Interning at FlyRank AI — "The Autopilot for Organic Growth" — focusing on Front-end AI Engineering, building interfaces for AI-driven growth automation tools.
Pursuing a BS in Computer Science with a focus on software engineering fundamentals, database systems, data structures and algorithms, and core AI/ML concepts, alongside hands-on project development.
Completed Intermediate studies with Computer Science, building a strong base in programming logic, mathematics, and computing fundamentals that shaped my path toward software development.
Completed Matriculation with a focus on Computer Science, where I was first introduced to programming concepts and developed an early interest in technology and problem-solving.
If you have an internship opportunity, a project to collaborate on, or just want to chat about AI and web tech, feel free to get in touch!
zeeshansiddiquioffice@gmail.com
Karachi, Pakistan
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