About
Production-minded Data Scientist and AI/ML Engineer focused on end-to-end pipelines — from data cleaning and model development to deployment-ready APIs and MLOps. Experienced building high-accuracy classification models, scalable RAG and agentic AI systems, and containerized microservices, with strong grounding across relational (MySQL, PostgreSQL) and vector databases. Seeking an entry-level Data Analyst / Data Scientist / AI Engineer role where analytical rigor and deployment expertise translate directly into measurable business impact.
Skills & Expertise (36)
Work Experience
Data Science Intern
FeyNN Labs
Aug 2024 - Sep 2024
Developed and benchmarked a multi-class career recommendation model (Decision Tree, Random Forest, cross-validation) that reached 84% test accuracy, improving guidance quality for students and establishing a scalable framework for future recommendation features. Cleaned and transformed raw student data — handling missing values and encoding categorical features — to deliver an analysis-ready dataset that streamlined downstream modeling work.
Machine Learning Intern
Afame Technologies
Jul 2024 - Aug 2024
Engineered and productionized a customer churn segmentation model (Logistic Regression, Random Forest) via Scikit-Learn pipelines, reaching 85% prediction accuracy and surfacing high-risk segments to guide targeted retention strategies. Analyzed behavioral KPIs and attrition patterns, visualizing findings with Matplotlib and Seaborn to give stakeholders clear, data-driven insight into the key drivers of churn.
Education
B.Tech, AI & Machine Learning - Netaji Subhash Engineering College, MAKAUT
2021 - 2025 · Afghanistan
Class XII, CBSE - Upasana Academy
2019 - 2021 · Afghanistan
Class X, CBSE - International Indian School, Jubail
2018 - 2019 · Afghanistan
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Skills (36)
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