Raahima Aamir

PROFESSIONAL PROFILE Computer Science undergraduate with a strong focus on data science, machine learning, and applied analytics. Experienced in working with real world datasets, including data collection, cleaning, harmonization, and exploratory analysis. Skilled in building reproducible workflows and translating complex data into meaningful insights through visualization and analysis. Motivated by interdisciplinary and sustainability focused research, with a strong interest in applying data driven methods to environmental and societal challenges. EDUCATION Bachelor of Science in Computer Science School of Electrical Engineering and Computer Science , Islamabad , 3.66 (4) INTERNSHIP EXPERIENCE Software Productivity Strategists Inc. 15-Jul-2024 - 23-Aug-2024 Completed industry-recognized certifications from IBM and AWS in cloud computing and AI. Contributed to AI-based tasks including data preprocessing, model evaluation, and prototype deployment. GIS plus 14-Jul-2025 - 22-Aug-2025 Gained hands-on experience with the MERN stack (MongoDB, Express.js, React, Node.js) for full-stack web development. Learned to integrate AWS cloud services for deployment and scalability. FINAL YEAR PROJECT Ustaad: AI powered path to freelance My Final Year Project, Ustaad, is an AI-driven personalized learning platform designed to guide learners through structured, goal- oriented skill development. The system begins with a comprehensive onboarding and profiling module that collects user goals, background, and preferences through forms, a chatbot, and a resume builder, creating a detailed learner profile. Based on this profile, an AI-powered learning path generation engine dynamically generates customized learning roadmaps, breaking long-term goals into achievable milestones and tasks. Ustaad also integrates an intelligent chatbot that provides real-time assistance, explanations, motivation, and feedback throughout the learning journey, while a mock client interaction module simulates real-world scenarios to help learners practice professional communication and problem-solving skills. The platform is implemented using a modern web architecture, with a static frontend hosted on AWS S3 and CloudFront, serverless backend APIs deployed on AWS Lambda, and analytics dashboards to track progress and engagement. Overall, Ustaad aims to reduce learning friction, bridge the gap between theory and practice, and deliver an adaptive, scalable, and user-centric learning experience using AI. TECHNICAL EXPERTISE Data Science and Analytics Experience working with real world datasets, including data collection, cleaning, normalization, and exploratory analysis. Comfortable identifying patterns, trends, and gaps in data and translating analytical results into meaningful insights using visualizations and reports. Machine Learning and Deep Learning

Computer Science undergraduate with a strong focus on data science, machine learning, and applied analytics. Experienced in working with real world datasets, including data collection, cleaning, harmonization, and exploratory analysis. Skilled in building reproducible workflows and translating complex data into meaningful insights through visualization and analysis. Motivated by interdisciplinary and sustainability focused research, with a strong interest in applying data driven methods to environmental and societal challenges.