ALI JAWAD

Data Science Student | IIT Madras

22f3001825@ds.study.iitm.ac.in
linkedin.com/in/ali-jawad-9774ab339
github.com/22f3001825

Professional Summary

Data Science student at IIT Madras with hands-on experience in Python, Machine Learning, and data analysis through academic projects. Skilled in developing data-driven solutions with a strong interest in solving real-world problems and generating actionable insights.

Education

Bachelor of Science in Data Science and Programming
Indian Institute of Technology (IIT) Madras
Duration: Sep 2022 - Sep 2026 (Expected)
CGPA: 8.68/10
HSC-State (Science)
B.L.S Inter College, UPMSP
Passed: 2021
75%
SSC-State (Science)
B.L.S Inter College, UPMSP
Passed: 2019
78.33%

Technical Skills

Programming Languages
Python
SQL
Libraries & Tools
Pandas
NumPy
Matplotlib
Scikit-learn
Machine Learning
Classification
Regression
Clustering
EDA

Academic Projects

Featured Projects

Bank Telemarketing Prediction Model
ML Competition Project
Sep 2024 - Nov 2024
Grade: S
  • Built predictive model with 0.78 F1 Score using Logistic Regression, Random Forest, XGBoost
  • Handled data preprocessing, feature engineering, and model comparison
  • Competed against 1000+ participants in ML competition
Inaya Cakezz Operations Optimization
Business Analytics Capstone
Jan 2024 - Apr 2024
Grade: A
  • Analyzed 2.5 years of operational data to identify delivery and sales inefficiencies
  • Delivered actionable insights for cost reduction and profit increase
  • Awarded Best Capstone Project for outstanding analysis and recommendations
Quiz Master V1 (Kwiz Platform)
Modern Application Development I
Jan 2025 - Feb 2025
Grade: S
  • Multi-user exam preparation platform supporting multiple courses and users
  • Admin features: Manages subjects, chapters, quizzes, and users
  • User features: Registration, login, and quiz attempts with progress tracking
Qvizz Exam Preparation Platform V2
Modern Application Development II
Feb 2025 - Mar 2025
Grade: S
  • Enhanced full-stack web application with personalized quizzes and real-time analytics
  • Tech stack: Flask, SQLite, Vue.js, REST API
  • Advanced features: User authentication, progress tracking, and performance analytics