Data Analyst with less than a year in Python, Power BI, and MySQL.
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Detail-oriented Computer Science student at COMSATS University with expertise in data analysis, Python analytics, Power BI dashboards, MySQL, and Excel. Experienced Data Analyst Intern at DeveloperHub Corporation with a proven track record of building AI systems — including a Medical Chatbot achieving 85%+ accuracy, a trading platform serving 100+ users, and a campus navigation app for 5,000+ students. Certified in AI Fundamentals and Data Literacy by DataCamp. Also pursuing Business Development experience in Upwork client outreach.
COMSATS University Islamabad, Sahiwal Campus
Bachelor of Science in Computer Science · Computer Science
September 1, 2022 – January 1, 2026
Bytepixels
Business Development Intern
May 1, 2026 – June 1, 2026
India
DeveloperHub Corporation
Data Analyst Intern
January 1, 2026 – Present
India
Nexus Trading System (Final Year Project)
September 1, 2025 – June 1, 2026
Engineered a unified intelligent trading and e-commerce platform consolidating 5+ fragmented business tools into a single adaptive ecosystem serving 100+ users. Architected scalable RESTful backend with Django — role-based authentication, real-time inventory tracking, and automated auction bidding. Built analytics dashboard reducing manual reporting time by 70% and improving data-driven decision-making accuracy. Implemented AI-powered recommendation engine using collaborative filtering, increasing user engagement by 40%.
MediBot — AI Medical Chatbot
January 1, 2025 – December 31, 2025
Developed production-ready AI chatbot using Retrieval-Augmented Generation (RAG), achieving 85%+ accuracy on medical queries from 500+ page clinical documentation. Engineered semantic search pipeline with FAISS vector database — 10,000+ document chunks with sub-second retrieval latency. Optimised Mistral LLM with custom prompt templates, reducing hallucinations by 60%. Deployed interactive Streamlit web interface with conversation history, source attribution, and real-time query processing.
Smart Campus Navigation App
November 1, 2024 – December 31, 2024
Designed and prototyped mobile navigation for COMSATS University's 5,000+ student campus, based on 50+ user interviews. Applied design thinking methodology — reduced time to locate campus facilities from 15 to 6 minutes (60% improvement). Developed Flutter app with Google Maps API, indoor navigation, voice search, and multi-language support.
Bus Ticketing Android Application
January 1, 2024 – December 31, 2024
Native Android app with real-time seat tracking and QR-code ticket generation — 500+ users, 4.5★ rating. Improved booking accuracy from 78% to 94% and increased customer satisfaction scores by 25%. Offline-first architecture with Room DB; Firebase Auth and Firestore for cross-device sync.
Machine Learning — Kaggle Project
January 1, 2024 – December 31, 2025
End-to-end ML pipeline on real-world Kaggle datasets — data cleaning, feature engineering, EDA, and model evaluation.
Experience Letter
Bytepixels
January 6, 2026 – Present
Data Literacy Fundamentals
DataCamp
January 1, 2024 – Present
AI Fundamentals
DataCamp
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of interests and a proactive approach to applying learned skills. The blend of technical and business development experience indicates adaptability and a willingness to explore different facets of a business. The focus on practical, impact-driven projects (e.g., 85%+ accuracy for MediBot, 70% reduction in reporting time) suggests a results-oriented mindset. The certifications and 'Currently Learning' section highlight a commitment to continuous growth, which aligns well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work (e.g., reducing reporting time, improving navigation efficiency). Collaboration is evident in working with cross-functional teams to define metrics. The business development internship also suggests an ability to communicate and manage client expectations, which can be beneficial in presenting data insights.