Mehmet Ertaş

Data Analyst & Junior Data Scientist | Python · SQL · Machine Learning | Open to Work

Istanbul, Istanbul, Türkiye

About

I'm a Computer Engineering graduate with hands-on experience in data analysis and machine learning across fintech and e-commerce domains. During my studies I interned at Yapı Kredi and Türkiye Finans working on real financial datasets, ETL pipelines, and Power BI dashboards that ended up in actual management reports. At Summarify, I spent nearly two years building NLP classification pipelines, cleaning large text datasets, and evaluating model performance end-to-end. After graduating, I focused on deepening my technical foundation completing IBM's Data Science Professional Certificate, Miuul's Machine Learning bootcamp, and building personal projects in fraud detection, sales forecasting, and no-code data visualization. I'm currently looking for a position where I can work on real problems with real data.

Experience

  • Freelancer at Freelance
    Apr 2025 - Present · 1 yr 4 mos

  • Data Scientist at Summarify
    Aug 2022 - Jun 2024 · 1 yr 11 mos

    Built NLP pipelines for text classification and sentiment analysis using Python and transformer-based models. Handled data preprocessing, feature engineering, and model evaluation end-to-end. Created Power BI dashboards to track model KPIs for non-technical stakeholders.

  • Mobile Application Developer at LC Waikiki
    Jul 2023 - Aug 2023 · 2 mos

    Contributed to a Java-based mobile e-commerce app. Participated in a full Agile/Scrum sprint code reviews, debugging, and feature development.

  • Data Analyst at Türkiye Finans Katılım Bankası
    Jul 2022 - Aug 2022 · 2 mos

    Extracted and cleaned financial data using SQL and Python. Supported ETL processes and built Power BI dashboards adopted in weekly management reporting.

  • Software Engineer at Yapı Kredi
    Jun 2022 - Jul 2022 · 2 mos

    Worked on internal software projects. Gained hands-on experience with SDLC, Git workflows, and Java fundamentals in a corporate banking environment.