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Akbar Berkah GumelarAG
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Akbar Berkah Gumelar

@akbarberkahgumelar

Results-driven coding expert specializing in AI model training.

Indonesia
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What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and growth in AI and data-driven projects.

I am a results-driven coding expert with extensive experience in optimizing AI model training through high-quality data labeling and enhancing data workflow efficiency. With a strong background in algorithms, data structures, and software development, I have successfully managed over 80,000 records to ensure accuracy in AI training processes. My proficiency in natural language processing and machine learning has allowed me to streamline research workflows and derive actionable insights, making significant contributions to various projects.

Throughout my career, I have collaborated with global teams, enhancing data workflow efficiency and meeting tight deadlines in high-volume environments. My role as a Data Annotation Specialist has honed my skills in data automation and analytical tools, while my experience as a Python tutor has enabled me to guide students through hands-on projects, fostering their skills in game development and software programming. I am passionate about leveraging technology to drive innovation and improve operational efficiency.

Experience

Work history, roles, and key accomplishments

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Education

Degrees, certifications, and relevant coursework

Pacmann Academy logoPA

Pacmann Academy

Professional Course, Data, Business, and Engineering

Completed a comprehensive two-year non-degree program covering over 50 courses in artificial intelligence & machine learning engineering, data analysis, data science, growth marketing, and product strategy.

Universitas Gadjah Mada (UGM) logoUU

Universitas Gadjah Mada (UGM)

Bachelor of Economics, Management

Grade: Cum Laude

Activities and societies: Finalist in case competitions such as the International Management Business Case Competition (IMBUSION) and the StudentsxCEOs Grand Summit.

Conducted research involving over 19,000 students and 152 companies, utilizing machine learning for text and network analysis to uncover insights into student creativity and innovation. Achieved scholarships including the Dato' Low Tuck Kwong Scholarship and funding from the Ministry of Tourism and Creative Economy's Digital Creative Talent Development Program. Finalist in case competitions such a

Tech stack

Software and tools used professionally

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