Raahima Aamir

Academic

Career

Verbatim text

Raahima Aamir
Cell: 923035412202 |  Email: raahimaaamir@gmail.com
LinkedIn: https://www.linkedin.com/in/raahima-aamir-1012b8278/
Address: House # 250, Service Road, F-15/1 Jammu Kashmir Housing Society , Islamabad , Pakistan
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

AI enrichment