Fadhlan Adha
About Me
I am an electrical engineering student from Pertamina University and also a Machine Learning graduate from Bangkit 2022 led by Google, GoTo, and Traveloka. My working experience as a Production & Operation intern in PT Pertamina EP has provided me some knowledge of inspections for electrical components and also contributed feedback to the company as a term of pitching ideas skill which I considered to use machine learning as the latest and potent technology. My recent project is a Smart Energy Meter that forecasts electricity consumption using a supervised machine learning model that I built using Python and Google Firebase Database. I love to contribute well in many organizations as a placeholder to improve my leadership and communication skills as much as i can that i use to accompany and direct my colleagues as well.
Education
Bangkit Academy led by Google, GoTo, and Traveloka
Results are 25 certifications in total and passed 1 TensorFlow Certification from Google, overall score is A (92.6/100) in total 957 hours (20 credits) also listed on top 53 Capstone Project from 433 products.
Pertamina University
1st Winner of The Best Achievement in Competition on Sore Apresiasi Prestasi Mahasiswa Universitas Pertamina 2023; 3rd Indonesia Artificial Intelligence Consortium 2023 Hackathon; 1st Winner on National Paper Competition 2022 (LKTIM by Universitas Negeri Semarang); 3rd Winner (Honorable Mention) on Shell Nxplorers Competition; 2nd Winner and Best Presenting on Invencmax 2.0 Competition in 2022 by IEM-Universiti Teknologi Malaysia SS; Finalist on National ASEAN Data Science Explorers (ADSE) 2022; Granted Twice on PKM by Kemendikbud Ristek Dikti in 2021 and 2022; Best Poster on Universitas Pertamina Student Conference 2021; A Winner on Univeritas Pertamina Proposal Competition (UPPC) 2022 in PKM-GFT (Gagasan Futuristik Tertulis) Scheme; 2nd Winner over 6 Categories and Gold Medal in IoT, Engineering, and Environment Category on Faperta Fair 2 National Paper Competition; Bronze Medal in Health Category on Faperta Fair 2 National Paper Competition.
Work & Experience
Petroleum & Gas Production Internship
PT Pertamina EP
● High voltage power generator was having performance degradation and so Major Inspection (MI) should be applied before major failures happened. I was obliged to study the major inspection result, especially in visual inspection, Partial Discharge (PD) Probe and C Coupler test, and able to detect stator insulator defects. ● Results are obtained well such as hydrated, heavy dust, oiled, current leakage, massive voids. I also contributed to recommend the company to utilize machine learning as the latest technology to forecast generator failures and lifetime. In total, I achieved A grade for internship subject.
Head of Numerical Computation Laboratory Asisstant
Pertamina University
● A new subject for sophomore students and we were suggested to conduct the very first laboratory session. We were assigned to design the first lab session module from our lecturer and conduct the session to re-explain the lesson from the class and able to hands-on. ● We designed the first module, consisting of theories, task, and its solution. We accompanied and conducting student for 14 modules to 74 students. Students' average score is 88/100 with sufficient understandings using C++ programming language on VSCode/Codeblocks.
