Bachelor's degree

Completed a Python development internship where I worked on three hands-on projects in data analysis, machine learning, and scientific computing.

Built a data analysis tool using Pandas and Matplotlib that processes CSV files and creates visualizations like bar charts, scatter plots, and heatmaps to identify patterns in data.

Developed a house price prediction model using Linear Regression that achieved 95% accuracy. The model analyzes features like size, location, number of rooms, and age to estimate property prices.

Created an interactive matrix operations calculator using NumPy that performs calculations including addition, multiplication, transpose, determinants, inverses, and eigenvalues.

Gained practical experience with Python libraries including Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. All projects are documented and available on GitHub.

Python Developer

• Contributed to open-source repositories focusing on backend structure and code improvements.
• Reviewed PRs, fixed bugs, and optimized API logic for collaborative projects.

Open Source Developer

Developed REST APIs and backend systems for client projects using Node.js and Express.
• Integrated MongoDB and optimized database queries for faster responses.
• Provided end-to-end support including deployment and documentation.

Back End Developer

20 | coding..

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github

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