About
AI & ML graduate with hands-on experience building and deploying machine learning models for classification, regression, and predictive analytics using Python, Scikit-learn, CatBoost, and SQL. Developed and deployed AgriSense, a crop recommendation system achieving 99.55% test accuracy with real-time weather API integration, and an Employee Attrition Prediction model using Logistic Regression with Flask deployment. Skilled in data preprocessing, feature engineering, model evaluation, and deploying ML applications via Streamlit Cloud.
Skills & Expertise (26)
Work Experience
Artificial Intelligence Trainee
Talent Trek E-Learning
Apr 2025 - Jul 2025
Completed an intensive AI training program focused on Machine Learning and Predictive Analytics, applying statistical modeling techniques to real-world datasets. Built, trained, and evaluated machine learning models using Python, Pandas, NumPy, and Scikit-learn, performing data preprocessing, feature engineering, and model validation. Received a Certificate of Excellence for strong performance and successful completion of the program.
Education
B.Tech – Computer Science & Engineering (AI & ML) - Guru Nanak Institutions Technical Campus
2022 - 2026 · Afghanistan
Intermediate (MPC) - Sri Chaitanya Junior College
2020 - 2022 · Afghanistan
SSC - Panchavati Vidyalaya
2019 - 2020 · Afghanistan
Certifications
Data Analytics Job Simulation
Deloitte Forage · 2026
AI Fundamentals: Foundations for Understanding AI
IBM SkillsBuild · 2026
Introduction to Modern AI
Cisco Networking Academy · 2026
Artificial Intelligence Internship Program
Talent Trek E-Learning · 2025
Machine Learning using Python
Infosys Springboard · 2025
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Skills (26)
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