Curriculum Vitae
Farhan Badrut Tamam
Media Social
A Mathematics undergraduate student with a strong interest in statistics and computing, and a solid understanding of fundamental mathematical concepts. Enthusiastic about learning new skills that contribute to personal growth. A hard worker, capable of working in teams, and quick to adapt. Committed to applying mathematical knowledge and skills in a professional environment.
Sedang berjalan
Universitas Jember
S1 • Mathematics • IPK 3.48
Januari 2025 - Februari 2025
Marketing
PT Bank Syariah Indonesia Tbk • Magang
November 2023 - Desember 2023
Full Stack Developer
BTPN Syariah • Project Base
• Built personalized user features by designing APIs using GoLang.
• Developed IT services based on user requirements using JavaScript, MySQL, Git, and other tools.
Media
Mei 2023 - November 2023
Logistics Team
Pekan Raya Himpunan Mahasiswa Matematika Universitas Jember • Organisasi
• Planned and tracked the equipment needed for events.
• Established agreements for equipment borrowing or rental.
• Procured, distributed, and prepared event materials and equipment.
Januari 2023 - Januari 2023
Big Data Analytics
Kimia Farma Dawaa Co. Ltd. • Project Base
• Processed Kimia Farma's raw sales data through Data Preprocessing using SQL Querying tools.
• Analyzed Kimia Farma product data and represented it in dashboard reports.
• Created data visualizations from sales data analysis using Google Data Studio.
Media
September 2022 - November 2022
Sponsorship Team
Dies Natalis Ikatan Mahasiswa DKI Jakarta Universitas Jember • Organisasi
• Responsible for securing sponsorships by creating and submitting sponsorship proposals.
• Ensured expenses were aligned with available budgets and funds through follow-ups during and after the event.
• Created financial reports detailing expenses and revenue throughout the event.
Januari 2022 - Januari 2022
Abstraction Team
Lomba Karya Tulis Ilmiah Nasional OSAKA Universitas Jember • Organisasi
• Reviewed abstracts of all submitted scientific papers, ensuring language accuracy and clarity of the message.
• Coordinated with reviewers or judges to ensure timely and criteria-based evaluation of abstracts.
• Identified and selected the best abstracts to advance to the next stage of the competition
Januari 2024
Specialized in Machine Learning
PT Dikoding Akademi Indonesia • BA24/GRAD/XXIV-07/M227D4KY1513
• Developed machine learning models to solve business problems using Python and TensorFlow.
• Applied techniques such as supervised learning and neural networks to enhance the performance of models.
• Collaborated in a multidisciplinary team to design the machine learning-based application, Baby Meter.
Media
Juli 2024
Best Product Track Capstone Project Bangkit
PT Dikoding Akademi Indonesia • BA24/PROD/XXIV-07/M227D4KY1513
Collaborated in a multidisciplinary team to design the machine learning-based application, Baby Meter.