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Junior Fullstack Developer & Data Scientist with 10 Months of Experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Rahimah Siddiqi is an ambitious BS Computer Science student with 10 months of combined experience in web development, research, and teaching assistant roles. With a strong foundation in Machine Learning, Artificial Intelligence, and Data Science, Rahimah has built diverse projects including full-stack MERN and Django applications, an inventory management system, and AI-powered text classification models. Possessing a wide array of skills in Python, JavaScript, SQL, and C#, Rahimah is poised to contribute to innovative software engineering and data science initiatives.
Lahore University Of Management Sciences (LUMS)
BS · Computer Science
August 1, 2022 – June 30, 2026
LUMS
Teaching Assistant
September 1, 2025 – December 1, 2025
Lahore, Punjab, Pakistan
Truck It In
Web Development Intern
July 1, 2025 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
LUMS
Research Intern
October 1, 2024 – January 1, 2025
Lahore, Punjab, Pakistan
ARKAD: Inventory Management System
June 25, 2026 – Present
Built a full-stack B2B e-commerce platform using MERN, with admin/customer portals and QuickBooks integration. Implemented secure quote-to-order workflows with payment verification, QR tracking, RBAC, and AI forecasting.
ShopRAR: E-Commerce Management System
June 25, 2026 – Present
Built a C# console-based e-commerce system with Azure SQL Server backend, T-SQL procedures, analytics queries, and Cosmos DB logging.
ArtiStreet
June 25, 2026 – Present
Developed a full-stack art marketplace using Django including a real-time chat bot with WebSockets, along with payment integration.
Global COVID-19 Data Analysis
June 25, 2026 – Present
Implemented and evaluated regression models with feature engineering, hyperparameter tuning, and visual analytics to assess mortality and case prediction performance using OWID data
Urdu News Article Classification
June 25, 2026 – Present
Implemented and evaluated custom classifiers (Logistic Regression, Multinomial Naive Bayes) and a PyTorch neural network, achieving up to 97.8% accuracy.
Command Line Shell
June 25, 2026 – Present
Implemented a basic shell replicating UNIX shell functionalities, including pipelining and command chaining.
Cultural Fit Analysis
The candidate demonstrates a broad interest in various technical domains, from full-stack web development to data analysis and machine learning, which suggests adaptability. The diversity of projects (e-commerce, inventory management, art marketplace, data analysis) indicates a willingness to explore different problem spaces. The academic background and internship experiences align with a growth mindset. However, without direct cultural fit assessment data, this analysis is based solely on project and experience diversity.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests good communication and organizational skills. Project descriptions indicate an ability to work on diverse technical challenges. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.