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Data Science with less than a year in Machine Learning & Data Processing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Saya merupakan lulusan S1 Teknik Informatika dengan pengalaman magang dalam pengolahan data, pemecahan masalah teknis, dan pengelolaan dokumen dan minat kuat pada bidang teknologi dan data. Terbiasa bekerja secara detail, cepat beradaptasi, serta memiliki kemampuan kolaborasi dan komunikasi yang baik. Mampu menggunakan berbagai tools digital untuk mendukung efisiensi pekerjaan. Terampil dalam memecahkan masalah secara analitis, serta bekerja dalam tim lintas disiplin.
Universitas Bengkulu
S1 Informatika · Informatika
N/A – June 30, 2025
PT Trengginas Jaya
Teknisi Fiber Optik
January 1, 2026 – Present
India
Bangkit Academy by Google, GoTo, Traveloka
Machine Learning Path
February 1, 2022 – February 1, 2022
India
Universitas Pendidikan Ganesha
Student Exchange(Pengolahan Citra Digital)
August 1, 2021 – August 1, 2021
India
Museum Negeri Bengkulu
Web Developer
August 1, 2020 – August 1, 2020
India
Analisis Dataset Citra untuk pemodelan CNN
January 1, 2022 – January 1, 2022
Melakukan eksplorasi data, pembersihan, visualisasi distribusi kelas, dan augmentation.
Automating Tasks with Python
January 1, 2022 – January 1, 2022
Mengembangkan skrip otomatisasi sederhana untuk memproses data file.
Al Upskilling Program
Remote Skills Academy
January 1, 2025 – Present
Google IT Automation with Python
Coursera
January 1, 2022 – Present
Mathematics for Machine Learning: PCA
Coursera
January 1, 2022 – Present
Natural Language Processing in TensorFlow
Coursera
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest in data science and machine learning. Participation in Bangkit Academy by Google, GoTo, Traveloka indicates an initiative for structured learning and collaboration. The diverse experiences, from web development to fiber optics, suggest adaptability, though the direct relevance to a data science cultural fit is limited for the non-DS roles. The candidate's self-description highlights collaboration and analytical problem-solving, which are positive indicators for cultural fit in a data-driven team.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as teamwork, responsibility, time management, detail orientation, problem-solving, and creativity, as listed in their resume. These are valuable for collaborative data science environments. Their experience in cross-functional teams (Bangkit Academy) suggests an ability to work effectively with diverse groups. However, the current role as a Fiber Optic Technician does not directly align with the target Data Science role, which might impact operational fit in a pure data science team without further validation of their technical application skills.