About
I'm an international student-athlete with a strong Mechatronics education, excelling in diverse environments. Fluent in English and native in Turkish, with proficiency in German and Chinese. Highly organized, a natural leader, and a skilled team player. Proficient in Python, API's, Django , Flask, mL, LLM and Git, passionate about using technology to solve complex problems. Multiple gold medals in science competitions since high school highlight my commitment to excellence. Eager to apply my skills and experience to contribute to innovative teams.
Projects
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Description: Developed a neural network model using LSTM in Keras to generate original music sequences.
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Technologies Used: Python, Keras, TensorFlow, NumPy, MIDI.
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Description: Developed a facial recognition system using deep learning in TensorFlow.
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Technologies: TensorFlow, OpenCV, Python.
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Description: Created a RESTful API using Python and Flask for managing and serving data.
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Technologies Used: Python, Flask, SQLAlchemy, Marshmallow, Docker.
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Description: Built a Slack bot to automate tasks and interact with users using Slack Events API and Django.
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Technologies Used: Python, Django, Slack API, PostgreSQL.
Blockchain (#WEB3) (2024)
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Description: Developed a blockchain application with Python.
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Technologies: Python, Flask.
Awards
Dates: June 22-26, 2015
Location: Kuala Lumpur, Malaysia
Participants: Over 3,000 students from 40+ countries.
Events:
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Team Debate
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Collaborative Writing
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Scholar’s Challenge (multi-subject test)
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Scholar’s Bowl (quiz competition)
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Cultural Fair
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Talent Show
Theme: "The World Unbound" - covering diverse topics like Modern Mythologies and The Science of Memory.
Goal: To inspire learning, global awareness, and teamwork.
Science Project Extracting Sea Urchin for Air Conditioning Cleaning Spray
Volunteering
Purpose:
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Help international students integrate into university life and the local community.
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Promote cultural exchange and understanding.
Education
Business Engineering
Certifications
The Legend of Python
- Topics: Variables, control flow, loops, functions, basic data structures.
Intermediate Python
- Topics: Object-oriented programming, error handling, advanced data structures, file I/O operations.
NumPy Course
- Topics: Data manipulation, mathematical operations, integration with other libraries using NumPy.