Burak Yavuz

Experience

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  DenizBank

  Mar 2021 - Apr 2021

  Intern

  - Gained exposure to Agile and Design Thinking in banking while building peer networks and developing a broader perspective on innovation in finance.

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  Karbel

  Jun 2022 - Sept 2022

  Intern

  - Analyzed production metrics to generate actionable insights that supported operational decision-making.- Created reports on production trends and quality control, enabling data-driven improvements in manufacturing processes.- Collaborated with cross-functional teams to streamline data collection and reporting workflows, improving accuracy and efficiency.

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  DHL

  Mar 2023 - Jun 2023

  Delivery Driver

  - Gained first-hand experience in last-mile delivery operations, ensuring timely and accurate package drop-offs across the region.- Communicated with Dutch customers and colleagues in an international work environment, strengthening adaptability and cross-cultural communication skills.

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  Jumbo Supermarkten

  Jun 2023 - Sept 2023

  Sales Assistant

  - Contributed to daily operations and customer service in a fast-paced, English-speaking international environment, enhancing my cross-cultural communication, adaptability, and teamwork skills.

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  Eti

  Oct 2023 - Jun 2024

  Senior Year Project Engineer

  - Led a team of 5 in optimizing delivery schedules and vehicle routes for ETİ’s warehouse operations.- Applied unsupervised learning to cluster customers by location, double-decker compatibility, mixed pallet needs, and order volume.- Designed schedules that balanced pallet loads, vehicle types, and customer demand across clusters.- Implemented routing heuristics (savings, two-opt, 2-exchange) in Python, improving routing performance by 8.88%.- Developed a mathematical optimization model that boosted routing efficiency to 9.67% and achieved 9.74% cost savings.- Collaborated with logistics and warehouse teams to align proposed solutions with operational constraints and planning processes. Show less

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  Obase

  Jun 2024 - May 2025

  - Designed a robust web crawler using Selenium and BeautifulSoup, extracting over 3,500 category paths and 250,000+ product entries from e-commerce platforms.- Built and fine-tuned NLP models with TensorFlow and RNNs to improve product category prediction accuracy.- Benchmarked traditional ML models including SVM and XGBoost, optimizing performance through comparative analysis.- Utilized SQL for in-depth data exploration and created interactive Tableau dashboards, transforming complex data into actionable business insights.- Integrated OpenAI API and LLaMA 3.1 to classify product reviews and enhance sentiment analysis, improving understanding of customer feedback. Show less

  • Big Data Engineer

    Sept 2024 - May 2025

  • Data Science Intern

    Jun 2024 - Aug 2024