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Work Experience
Project based on Capstone Project
ByteIQ Analytics Private Ltd
Oct 2024 - Dec 2024
The project helps identify banks that are likely to become defunct at an early stage, allowing regulators and stakeholders to take preventive actions. By using machine learning models like Random Forest, the project replaces guesswork with accurate, data-based predictions for financial stability. Predicting bank failure helps reduce financial crises and protects customers, investors, and the overall economy. The project demonstrates real-world use of data analysis, feature selection, and classification models in the banking and finance domain.
Data Analysis Intern
Cognifyz
Mar 2025 - Apr 2025
Analyzed restaurant datasets covering cuisines, ratings, pricing, and city-wise trends. Cleaned and prepared data for statistical analysis and visualization. Conducted EDA to identify patterns in customer ratings, reviews, and online delivery impact. Built visualizations highlighting cuisine popularity, restaurant clusters, and performance metrics. Delivered insights on rating drivers, top cuisines, and location-based restaurant behavior.
Education
Bachelor of Technology (B. Tech) in Computer Science Engineering - Gandhi Institute of Excellent Technocrats
- 2025 · Afghanistan
Intermediate (+2) - Saraswata Higher Secondary School
- 2021 · Afghanistan
Matriculation (10th) - Upendra Nath High School
- 2019 · Afghanistan
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Skills (22)
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