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Data Science with less than a year in Technical Editing & Competitive Programming
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated junior Data Science professional with 0.5 years of experience in technical editing, leveraging strong problem-solving and analytical skills. Proven ability to improve content readability, collaborate effectively, and contribute to project success. Actively engaged in competitive programming and data mining, demonstrating proficiency in Python, Machine Learning, and C++ to build robust models and extract insights from raw data.
INFORMATICS LABORATORIUM
Laboratorium Assistant Intern
January 1, 2026 – Present
Bandung, West Java, Indonesia
HIMPUNAN MAHASISWA DATA SAINS
Manager of Research and Development Division
January 1, 2024 – January 1, 2025
Bandung, West Java, Indonesia
HIMPUNAN MAHASISWA TELKOM SCHOOL JAKARTA
Manager of Sponsorship & Fundraising
January 1, 2024 – January 1, 2025
Bandung, West Java, Indonesia
GOOGLE DEVELOPER GROUP ON CAMPUS TELKOM UNIVERSITY BANDUNG
Active Member
January 1, 2024 – January 1, 2025
Bandung, West Java, Indonesia
SOCIETY OF RENEWABLE ENERGY
Manager of Sponsorship & Fundraising
January 1, 2023 – January 1, 2024
Bandung, West Java, Indonesia
PT. Sari Teknologi
Editor
January 1, 2022 – June 1, 2022
Kota Administrasi Jakarta Barat, Jakarta, Indonesia
CCNA-IT ESSENTIAL
CCNA
January 1, 2023 – Present
BNSP-DIGITAL MARKETING
BNSP
January 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards academic and extracurricular involvement, particularly in areas related to data science and technology (HIMADS, GDG). Their participation and achievements in multiple competitions (Data Mining, Competitive Programming) suggest a proactive, competitive, and growth-oriented mindset. The diverse organizational roles indicate adaptability and a willingness to take on different responsibilities, which can contribute positively to team dynamics and cultural fit. However, the experience is primarily academic and organizational, with limited direct industry experience in a data science capacity.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including problem-solving, attention to detail, analytical thinking, public speaking, and communication, which are crucial for a Data Science role. Their experience in various organizational roles (Manager of R&D, Sponsorship & Fundraising) and as a lecturer assistant suggests good team collaboration and leadership potential. The current internship as a Laboratorium Assistant Intern further indicates a hands-on approach to learning and practical application.