COMPUTER SCIENCE • AI • MACHINE LEARNING

Aqsa Batool Saqib

BS Computer Science Student | AI & Machine Learning Enthusiast | Python Developer

Currently learning Cloud Computing while building practical AI-powered solutions.

I am a BS Computer Science student with a strong interest in Artificial Intelligence, Machine Learning, and Python development. Through internships, certifications, and academic projects, I have gained hands-on experience while developing my technical and problem-solving skills. I enjoy learning new technologies, exploring innovative ideas, and building practical AI-based solutions.

Professional portrait of Aqsa Batool Saqib
AI / ML
Python
☁ Cloud Learning

01 — ABOUT

Learning, building, and growing in AI.

My main career direction is Artificial Intelligence and Machine Learning. I enjoy turning concepts into practical projects and continuously strengthening my programming, analytical, and problem-solving abilities.

Alongside AI/ML, I am currently learning Cloud Computing to understand how intelligent applications can be developed, deployed, and scaled in modern computing environments.

My portfolio is designed to grow with me throughout university and beyond — from academic projects and certifications to my final-year project and future professional work.

3.44CGPA
BSCSComputer Science
AI/MLPrimary Direction
CloudCurrently Learning Cloud Computing

02 — SKILLS

Technologies I'm learning and applying.

Py

Python

Programming, data work, automation, and ML projects.

ML

Machine Learning

Classification, prediction, model experimentation, and evaluation.

AI

Artificial Intelligence

AI concepts, intelligent applications, and practical problem solving.

DA

Data Analysis

Working with data to understand patterns and support decisions.

Ag

AI Agents

Learning modern agentic AI concepts and tools.

☁

Cloud Computing

Currently learning Cloud Computing and expanding my knowledge of cloud concepts and services.

GH

Git & GitHub

Version control, project repositories, and portfolio development.

CS

Problem Solving

Applying computational thinking to academic and practical projects.

03 — PROJECTS

Projects that turn learning into practice.

02
MACHINE LEARNING

Disease Prediction

A machine learning project focused on predicting disease outcomes from health-related features.

PythonMLPrediction
03
NLP / CLASSIFICATION

Email Spam Classification

A classification project for distinguishing spam messages from legitimate emails.

PythonNLPClassification
04
COMPUTER VISION

MNIST Digit Recognition

Handwritten digit recognition using the well-known MNIST dataset and machine learning techniques.

PythonComputer VisionML
05
PREDICTIVE MODELING

Credit Scoring

A predictive modeling project exploring credit-related classification and risk assessment.

PythonMLData
06
ARTIFICIAL INTELLIGENCE

Rule-Based AI Chatbot

A rule-based conversational system demonstrating foundational AI logic and response handling.

PythonAILogic
07
UNIVERSITY PROJECT

Home Sale System

A university software project focused on managing home-sale related information and operations.

SoftwareDatabaseUniversity
08
HUMAN-COMPUTER INTERACTION

Blink-Controlled PDF Reader

A university project exploring blink-based interaction for navigating a PDF reader.

PythonComputer VisionHCI

04 — EXPERIENCE

Practical experience across AI and Machine Learning.

ARTIFICIAL INTELLIGENCE INTERNSHIP

Decodelabs

Gained practical exposure to Artificial Intelligence concepts and strengthened technical and problem-solving skills through hands-on learning.

MACHINE LEARNING INTERNSHIP

Arch Technologies

Developed practical experience with Machine Learning concepts, workflows, and problem-solving through hands-on internship work.

MACHINE LEARNING INTERNSHIP

CodeAlpha

Built hands-on Machine Learning experience through practical projects and applied learning.

MACHINE LEARNING INTERNSHIP

FlyRank

Gained practical Machine Learning experience through project-based work, model development, and applied problem solving.

05 — CERTIFICATIONS

Continuous learning across AI, data, and cloud.

AI & Machine Learning

  • AI for Brainstorming and Planning — Coursera
  • AI Fundamentals — Coursera
  • AI for Data Analysis — Coursera
  • AI for App Building — Coursera
  • Introduction to Modern AI — Cisco Networking Academy
  • AI Fluency certificates — Anthropic (10 certificates)

AI Agents & Cloud

  • Oracle Certified Foundations Associate — Agentic AI
  • Describe Cloud Computing — Microsoft

06 — EDUCATION

Building a strong computer science foundation.

BACHELOR OF SCIENCE

BS Computer Science

University of Faisalabad

3.44 CGPA Expected Graduation: 2027

07 — CONTACT

Let's connect and build something meaningful.

I'm open to connecting around AI, Machine Learning, Python, cloud technologies, and future opportunities.