Resume

Aspiring Data Scientist and Python Developer passionate about machine learning, data analysis, and building intelligent data-driven solutions.

Education

DATA SCIENCE | PIPT-2026 | NEDUET

JAN 2026 - MARCH 2026

University

Completed Data Science course at NED University of Engineering & Technology, focusing on data analysis, machine learning, statistics, and Python programming. Actively working on real-world projects involving data preprocessing, predictive modeling, and data visualization.

Bachelor's in Computer Science / Software Engineering

2022 - Present

University / College

Currently pursuing a degree focused on programming, data science, and software development. Building practical projects in machine learning, data analysis, and application development.

Associates Degree program In Aptech Learning Pakistan

Nov 2023 - Nov 2026

Institute

Currently enrolled in the Career Program at Aptech Learning Pakistan, focusing on programming, data science, and software development. Actively developing practical projects in machine learning, data analysis, and application development using modern tools and technologies.

Intermediate (Pre-Engineering)

2020 - 2022

Higher Secondary School

Studied mathematics, physics, and computer science fundamentals which developed strong analytical and problem-solving skills.

Professional Skills

Python Programming

Machine Learning

Data Analysis

Data Visualization

Projects & Experience

Machine Learning Project – BMW Global Sales Prediction

2025

Personal Data Science Project

  • Developed a machine learning model to analyze and predict BMW global car sales using historical sales and market data.
  • Performed data cleaning, exploratory data analysis (EDA), and feature engineering to prepare the dataset.
  • Trained predictive models using machine learning algorithms to forecast future sales trends.
  • Visualized insights and evaluated model performance using data visualization and regression metrics.

Machine Learning Project – Mobile Price Prediction

2025

Personal Data Science Project

  • Developed a machine learning model to predict mobile phone price ranges based on device specifications.
  • Performed data preprocessing, feature engineering, and model training.
  • Applied algorithms such as Random Forest for accurate predictions.
  • Evaluated model performance using classification metrics.

Quran Surah Classification using Machine Learning

2025

Data Science Project

  • Built a classification model to predict whether a Surah is Meccan or Medinan.
  • Conducted exploratory data analysis (EDA) and feature engineering.
  • Implemented machine learning algorithms using Python and Scikit-Learn.
  • Visualized insights using Matplotlib and Seaborn.

Python Applications Development

2024 - Present

Personal Projects

  • Developed multiple Python applications including weather apps, password generators, and voice recognition tools.
  • Built GUI applications using Tkinter.
  • Implemented API integration for real-time data applications.
  • Maintained projects and source code on GitHub.