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@huffazbaith
Physics graduate skilled in machine learning and data analysis.
I am a Physics graduate with a strong focus on Computational and Instrumentation Physics, passionate about integrating machine learning into modern engineering solutions. My experience includes developing electronic systems and applying machine learning techniques to real-world problems. I thrive in collaborative environments and enjoy tackling complex challenges.
During my time at Bangkit Academy, I honed my skills in Data Science and Machine Learning, where I developed a content-based recommendation system for tourists called TRAVELLINK. My role involved model development, data analysis, and deployment, utilizing Python and TensorFlow. Additionally, I have experience as a Physics Laboratory Assistant, where I taught undergraduate students and evaluated their lab performance.
My research internship at the National Research and Innovation Agency allowed me to explore volcanic activity in Indonesia, where I applied data processing and machine learning to analyze seismic data. I am eager to contribute my skills in machine learning, data analysis, and problem-solving to innovative projects in the field.
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Work history, roles, and key accomplishments
Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka
Feb 2024 - Present (1 year 9 months)
Developed skills in Data Science and Machine Learning, focusing on model development, data analysis, and deployment. Gained experience in techniques such as Computer Vision, Natural Language Processing, and data-driven model optimization using Python and TensorFlow.
UNJ Physics Laboratory
Aug 2023 - Present (2 years 3 months)
Taught undergraduate students in 8 basic physics lab modules, including the use of measuring instruments, data collection, data processing, and error analysis. Responsible for evaluating 36 students based on their lab performance.
The National Research and Innovation Agency (BRIN)
Feb 2023 - Present (2 years 9 months)
Conducted research on volcanic activity in Indonesia, focusing on data processing, analysis, and interpretation to enhance understanding of volcanic behavior. Performed data cleaning, visualization, and analysis on 1-month Mount Sinabung seismic waveform recordings.
Degrees, certifications, and relevant coursework
Bachelor of Science, Physics
Grade: 3.67/4.00
Activities and societies: Conducted comprehensive research on developing an electronic nose (E-Nose) system using 8 MQ gas sensors based on Arduino to classify green tea and black tea. The project involved designing the E-Nose instrument, collecting sensor data, and developing machine learning models to achieve high-accuracy predictions.
Conducted comprehensive research on developing an electronic nose (E-Nose) system using 8 MQ gas sensors based on Arduino to classify green tea and black tea. The project involved designing the E-Nose instrument, collecting sensor data, and developing machine learning models to achieve high-accuracy predictions.
Software and tools used professionally
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