About
Data Analyst / Data Scientist with a 9.21 GPA in CS (AI & ML): built a logistic regression model scoring 9,240 leads at 92.1% accuracy / 0.956 ROC-AUC, a K-Means segmentation splitting 200 customers into actionable clusters, and Power BI/Tableau dashboards giving stakeholders self-serve visibility into sales, HR, and pricing. Fluent in Python, SQL, and the analytics pipeline from data cleaning to model evaluation.
Skills & Expertise (25)
Work Experience
Student Intern, Data Science & Analytics
upGrad
Jan 2026 - Present
Cleaned and analyzed multi-source datasets in Python, Pandas, NumPy, and SQL, cutting manual data-prep time and surfacing trends that fed directly into model design decisions. Built and validated classification/prediction models with scikit-learn, iterating on preprocessing and features to raise accuracy and validation scores across each mini-project. Shipped predictive-modeling mini-projects end-to-end — from raw data to evaluated model — translating results into data-driven recommendations for stakeholders.
Data Science Menternship
Snapdeal (in collaboration with upGrad / MentorMind)
Present - Jun 2026
Applied K-Means clustering to segment online retail customers by purchasing behavior, identifying distinct customer groups to inform targeted marketing and retention strategy. Delivered cluster profiles and business recommendations to a mentor-reviewed panel, translating unsupervised model output into plain-language insight for non-technical stakeholders.
Education
B.Tech, Computer Science Engineering (AI & ML) - CVR College of Engineering
2021 - 2025 · Afghanistan
Certifications
AWS Academy Machine Learning Foundations
AWS Academy · 2024
Google AI-ML Virtual Internship
EduSkills · 2024
Google Cybersecurity Certificate
Coursera · 2024
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Depends on Offer
Skills (25)
Click a skill to find developers with the same skill
