I’m a Computer Science student focused on backend development and AI. I build backend systems using .NET, and apply machine learning to solve practical problems using tools like Python, Scikit-learn, and Pandas.
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Student Admission Score Prediction
Regression model using Python to predict student scores based on demographics and academics. Used data preprocessing, Linear Regression, and Scikit-learn. -
Pet Classification ML Project
Built a classification pipeline using K-Nearest Neighbors (KNN) and feature engineering to classify pet species. Tools: Python, Scikit-learn, Pandas, Matplotlib. -
Data Pipeline Optimization with Apache Spark
Developed an optimized Spark-based ETL pipeline for large-scale data processing (1TB/day), reducing job runtime by 30%. -
Online Art Gallery (Full Stack)
Built an online platform with PHP, MySQL, and JavaScript for artists to display and sell artwork. Designed backend logic and implemented secure transactions. -
Event Management System (Python)
Console-based backend project for managing clients, freelancers, projects, and invoices with Python.
- Backend development with .NET (C#, ASP.NET Core, EF)
- ML pipelines: data cleaning, training, and evaluation
- Data engineering and automation tools