Data Engineer with 1+ years in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a fourth-year Computer Engineering student focused on data engineering and data-driven software development. I have gained experience with Python, SQL/SQLite, Pandas, NumPy, Scikit-learn, Supabase, and API integrations in data processing pipelines, data cleaning, preprocessing, feature transformation, and structured data storage. I aim to further develop myself in Data Engineering, Data Analysis, and data-focused software engineering roles.
Balikesir University
Computer Engineering · Computer Engineering
September 1, 2022 – June 1, 2026
BT10 Bilgi Teknolojileri
Automated Visual Content Analysis Pipeline
January 1, 2025 – Present
India
Vivani - Event & Photo Management Web Platform
January 1, 2026 – December 31, 2026
Developed a web platform with authentication, PostgreSQL database operations, Supabase Storage file management, access control, and Vercel deployment workflows.
Fuzzy Logic-Based Source Code Similarity Detection
January 1, 2025 – December 31, 2025
Developed a Python-based code similarity system combining TF-IDF, token-based Jaccard, structural similarity, and fuzzy logic scoring.
YouTube Comment Sentiment Analysis System
January 1, 2025 – December 31, 2025
Developed an NLP system that collects YouTube comments, preprocesses text, applies Word2Vec vectorization, and classifies sentiment using an MLP model.
Machine Learning Model Comparison Project
January 1, 2025 – December 31, 2025
Built and compared regression, clustering, and classification models using preprocessing, feature engineering, PCA, hyperparameter tuning, and model evaluation metrics.
C# Application Development - Complete Training (A-Z)
Unknown
June 15, 2026 – Present
Data Structures and Algorithms with Java
Unknown
June 15, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest in data engineering and data-driven development, aligning well with the target role. The diversity of projects (web platform, NLP, code similarity, ML model comparison) indicates a broad technical curiosity. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting. The candidate is still a student, which implies a learning-oriented mindset, but also a need for growth in industry best practices.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, suggesting adaptability. The ongoing voluntary internship demonstrates initiative and a proactive approach to gaining practical experience. However, without direct interview data, it's difficult to assess specific soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.