Muhammad Hussain Riaz

Data Analyst | Business Intelligence | Tech War 2025 Winner

Based in: Lahore, PakistanCurrently: Volunteer, Al-BurhanExperience: 2 years

Hire me

Data Analyst and Business Intelligence professional with a strong foundation in Machine Learning and Cybersecurity. Expert at translating complex technical data into actionable business insights and compelling narratives, as demonstrated by winning the Tech War 2025 pitching competition.

Experience

Volunteer

Al-BurhanLahoreOct 2024 – Present

Pharmacy Assistant

Ghafori Maternity Hospital and Surgical CenterLahorepart time2020 – 2022
Managed patient billing and financial transactions, ensuring accuracy in charge calculations and payment processing. Guided patients on medication pricing, procedures, and general queries, translating clinical information into clear, accessible language. Assisted with medicine sales and inventory-related tasks, maintaining organised records and supporting day-to-day hospital operations.

Skills

Technical

PythonPython
SQLSQL
Data Analysis
Communication
Scikit-Learn
Database Design
TensorFlow/KerasTensorFlow/Keras
Machine Learning
NumPy
Pandas
Matplotlib
Excel
SQL ServerSQL Server
C++C++
FastAPIFastAPI
GitGit
Business Intelligence
ASP.NET Core
VercelVercel

Areas of expertise

Analytical Thinking
Problem-Solving
Attention to Detail
Team Leadership

Projects

e.Baab-Ul-Salah — Islamic Lifestyle & Congregational Timing Platform (FYP)

Developeracademic
Developed a mobile Islamic prayer companion application featuring a machine learning model trained on 51,000+ rows of mosque data to predict congregation timings, alongside an AI-powered Islamic Q&A chatbot and a location-based Masjid discovery feature. Built on a microservices architecture with a Python FastAPI backend and a C# ASP.NET Core gateway, deployed serverlessly to Vercel.
PythonFastAPIASP.NET CoreSQL ServerGitVercel

Skin Cancer Detection — AI Research Paper

Lead Researcher / AI Developeracademic
Developed a custom 7-layer CNN architecture trained over 45 epochs using TensorFlow/Keras on the HAM10000 dataset to detect skin cancer.
PythonDeep LearningCNNTensorFlow/KerasHAM10000 Dataset

Titanic Survival Prediction — Machine Learning

Developeracademic
Engineered features, handled missing data, and benchmarked multiple classification models to meaningfully improve prediction accuracy beyond baseline results.
Machine LearningPython

Fashion Store Database — SQL

Database Designeracademic
Designed and implemented a normalized relational database with 8+ tables covering inventory, customer records, and order tracking.
SQLRelational DatabaseSQL Server

Local Password Vault & Manager

Lead Developer & Presenteracademic
Developed a secure local password storage manager. Focused on high-security architecture and user-active security principles.
AES-256Security Architecture

Education

Bachelor of Science in Computer Science

University of South AsiaComputer ScienceGPA 3.02Sep 2022 – Jul 2026

Thesis. e.Baab-Ul-Salah — Islamic Lifestyle & Congregational Timing Platform

Intermediate in Computer Science (ICS)

Unique Group of CollegesComputer ScienceSep 2020 – May 2022

Matric

Dar-e-Arqam SchoolsComputer ScienceMar 2020

Recognition

Awards

1st Place, Idea Pitching Competition — Tech War 2025

University of South Asia2025

Won 1st place for pitching a cybersecurity project to a diverse panel of technical and non-technical judges at Tech War 2025.

Certifications

Data Analysis using Python

Verified Credential

Fundamentals of Digital Marketing

Google

Patents & publications

Skin Cancer Detection using Custom 7-Layer CNN Architecture

research paper2024

A research paper detailing the development of a 7-layer CNN architecture for skin cancer detection, achieving 97% accuracy on the HAM10000 dataset.

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Muhammad's twin is AI, it can make mistakes.

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