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Software Engineer | Python, Django, REST APIs | Clean Code, CI/CD, PostgreSQL | 5+ yrs experience building scalable and maintainable systems
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Assessing your cultural and operational fit
ML-heart-disease-prediction
August 10, 2025 – August 20, 2025
Machine learning project using the Kaggle Heart Disease Health Indicators dataset to predict heart disease risk. Covers preprocessing, EDA, and training models (Logistic Regression, Random Forest, XGBoost, SVM, KNN, Decision Tree, Naive Bayes) with evaluation via Accuracy, ROC-AUC, and Confusion Matrix.
View Projectbigdata-education-nutrition
May 22, 2025 – May 22, 2025
📊 Big Data analysis project exploring the relationship between educational attainment and nutrition quality using Hadoop, Hive, and Zeppelin on a US-wide health dataset.
View Projectdjango-request-replay
May 20, 2025 – September 19, 2025
🔄 A Django middleware to record, track, persist, and replay API requests - enabling state restoration and precise debugging in volatile or reset-prone systems.
View ProjectLinuxStatAPI
May 19, 2025 – May 20, 2025
FastAPI project to monitor Linux system info (CPU, memory, disk, network)
View Projecttaskflow-api
May 13, 2025 – August 27, 2025
Task manager REST API—Django 5, DRF, Celery, PostgreSQL, Docker.
View Projectphoto-sharing-app
April 29, 2025 – May 22, 2025
📷 Photo Sharing Web App (Django) A lightweight, Instagram-style web application built with Django that allows users to upload pictures, comment, and rate images with Azure, CI/CD. Features include image metadata, user interaction, paginated gallery.
View ProjectPatrowlCore
December 13, 2024 – December 19, 2024
Project that handles requests between Microservices
View ProjectUsefulPythonExercises
June 15, 2020 – Present
There are some useful python examples inside this repository.
View Projectcinema-django
June 15, 2020 – April 21, 2023
Hi. This is cinema project with python and Django. This project contains ticketing and accounts apps. Enjoy.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and demonstrate a strong interest in diverse technical areas, from web development to machine learning and big data. This breadth suggests adaptability and a proactive learning attitude. However, the lack of team-based or open-source contributions makes it difficult to fully assess cultural fit in a collaborative environment. The target role is 'Data Scientist', and while there are relevant projects, the overall portfolio is quite broad, which could indicate a generalist tendency rather than deep specialization in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technically focused, but do not provide insight into collaboration, problem-solving approaches, or communication style.