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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.
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.
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.
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.
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.