Curriculum Vitae

Muhammad Andhika Ramadhan
Fresh graduate of Computer Engineering from Universitas Pendidikan Indonesia with a keen interest in exploring technology in the field of computer science, especially in Data Engineering, Machine Learning, and Software Development. Having experience in developing Machine <br /> Learning applications integrated with cloud platforms, web-based and mobile based, as well as experience in processing large-scale data. I have applied this experience in various projects, <br /> both in internship, academic, and personal projects.
Oktober 2024
Universitas Pendidikan Indonesia
S1 • Teknik Komputer • IPK 3.73
April 2024 - September 2024
Data Scientist

PT Telekomunikasi Indonesia (Persero) Tbk • Magang
April 2024 - Oktober 2024
Data Scientist
PT Telekomunikasi Indonesia (Persero) Tbk • Magang
● Placed at Graha Merah Putih, Jakarta Selatan. Joined Telkom Leap Digital, with Financial Performance Team (DBT), handling Profit and Loss data.
● Focus on creating a code for ETL process using Python by utilizing tools like Pandas and Cron from datasource Dbeaver for PostgreSQL and Google BigQuery.
● Analyze, reduce, clean and process raw data from data warehouse for over 500,000+ rows to become processed data for further analysis.
● Collaborate with analyst teams to align ETL processes with business goals and reporting needs.
● Tools: Python, Pandas, Cron. Datasource: Dbeaver for PostgreSQL, Google BigQuery.
Media
Agustus 2023 - Januari 2024
Research Assistant
Universitas Pendidikan Indonesia • Part Time
• The research within the scope of computer vision with a focus on developing solutions for classification of batik patterns.
• Performed data preprocessing such as data acquisition, followed by a cropping on the image and the data cleaning process such as removing noise.
• Developed classification model was carried out using Tensorflow and Keras.
• Integrated the model into a web-based application. Involves back-end development with python for effective model inference, as well as front-end design for user experience.
Februari 2023 - Juli 2022
Cloud Computing
Bangkit Academy • Magang
● Designed APIs with python to facilitate communication between mobile apps and the servers that located in Google Cloud.
● The API connects a deep learning model and database located on Google Cloud Services with the apps.
● Utilized cloud platforms such as Cloud Run to deploy container-based APIs, Cloud SQL for database management of built applications, and Cloud Storage for file storage.
Agustus 2022 - Desember 2022
Machine Learning
Orbit Future Academy • Magang
● Developed applications to designing solutions to classify various types of skin and eye diseases using.
● Perform initial data processing involved data collection, image cropping and data cleaning including removing visual interference or 'noise'.
● Developed classification model was carried out using Tensorflow and Keras.
● Integrate the model into a web-based application. It involves back-end development with python for effective model inference as well as front-end design for the user experience.
Februari 2024
PTESOL
Universitas Pendidikan Indonesia • T-2402049/C-P/DP-BBUPI/02/2024
PTESOL, English Test
Media
Juli 2023
Convolutional Neural Networks
DeepLearning.ai • https://coursera.org/verify/W45BCA8RLBB3
Convolutional Neural Networks
Media
Juli 2023
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.ai • https://coursera.org/verify/FZMB2YFNHLMK
Improving Deep Neural Networks
Media
Juni 2023
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.ai • https://coursera.org/verify/LQ8J2K3ZZLVV
Introduction to TensorFlow
Media
Oktober 2024
Data Scientist Certificate
Magenta • 00206/MAGENTA/FHCI01/10/24
MAGANG GENERASI BERTALENTA BUMN (MAGENTA BUMN) di PT Telekomunikasi Indonesia (Persero) Tbk pada posisi Data Scientist, mulai dari tanggal 01 April 2024 sampai dengan tanggal 30 September 2024 dengan hasil A