About
Computer Science and Data Science graduate with hands-on experience in Data Analysis, Python Development, and AI/ML Application Development. Proficient in Python, SQL, Pandas, Scikit-learn, and data visualization. Developed systems for Predictive Maintenance, Intelligent Code Review, and AI-Powered Candidate Ranking, applying analytical problem-solving and clean, modular software design.
Skills & Expertise (30)
Work Experience
Data Science Trainee Internship
YUVA
Aug 2026 - Sep 2026
Performed data acquisition, cleaning, preprocessing, and validation using Python, Pandas, and NumPy, handling missing values, inconsistencies, outliers, and erroneous entries. Conducted Exploratory Data Analysis (EDA) using Pandas, Matplotlib, and Seaborn to identify trends, correlations, patterns, and anomalies. Applied 2 machine learning paradigms—supervised and unsupervised learning—using Scikit-learn, including clustering, feature engineering, model training, validation, and performance evaluation. Developed and evaluated deep learning models using TensorFlow, analyzing model performance and challenges including overfitting and resource constraints. Completed 6 end-to-end Data Science tasks covering data acquisition, preprocessing, EDA, clustering, supervised learning, and deep learning.
Education
B.Tech in Computer Science and Engineering (Data Science) - Marri Laxman Reddy Institute of Technology and Management
2022 - 2026 · Afghanistan
Intermediate in MPC - Prathiba Junior College
2020 - 2022 · Afghanistan
SSC - Sri Vivekanandha High School
2019 - 2020 · Afghanistan
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Skills (30)
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