Curriculum Vitae
Muhammad Arief Rachman
Fresh graduate in Mathematics from Institut Teknologi Sepuluh Nopember with a strong foundation in solving complex problems through mathematical applications. Experienced in machine learning, data analysis, leadership, effective communication, critical thinking, problem solving, and attention to detail. Skilled in teamwork, analysis, and decision making, with proven adaptability in dynamic environments. Highly motivated to grow and contribute through the Management Trainee program by driving innovation and collaborative success.
Agustus 2025
Institut Teknologi Sepuluh Nopember
S1 • Matematika • IPK 3.3
Juli 2024 - Agustus 2024
Staff Operational
PT Jasamarga Pandaan Tol • Magang
• Analyzed traffic volume data across all vehicle categories on the Pandaan toll road to identify usage
patterns and trends.
• Conducted exploratory data analysis (EDA) and processed data using Python, Pandas, NumPy,
TensorFlow, and Scikit-learn to ensure quality and reliability.
• Developed and implemented a Long Short-Term Memory (LSTM) model to forecast vehicle traffic
volume by category.
• Achieved strong model performance with evaluation metrics: Mean Absolute Error (MAE) = 0.01934
and Root Mean Squared Error (RMSE) = 0.13716, demonstrating high predictive accuracy.
Maret 2023 - November 2023
Kepala Sub Divisi Kompetisi
Olimpiade Matematika ITS (OMITS) 16th • Organisasi
• Designed and implemented competition formats by establishing rules, schedules, and technical
requirements to ensure smooth and structured execution.
• Coordinated judges, vendors, and volunteers while managing resources such as promotional
materials, certificates, and prizes to support successful event delivery.
• Monitored and evaluated event performance, identifying strengths and weaknesses, and
recommended improvements for future competitions.
• Developed a new innovation by implementing 6 regional offline preliminary rounds, resulting in more
than 3,000 participants.
• Achieved accreditation from the National Achievement Center (Pusat Prestasi Nasional / Puspresnas).
Agustus 2022 - Agustus 2023
Ketua Forum Daerah Depok ITS
BARIKADE ITS • Organisasi
• Developed work programs and organizational structures to ensure effective workflow execution.
• Collaborated with Institut Teknologi Sepuluh Nopember (ITS) to promote the university to high
schools in Depok.
• Monitored and evaluated staff performance to ensure tasks and responsibilities were completed
accurately.
November 2024
Structuring Machine Learning Projects
DeepLearning.AI • 0X8RL3V0LN11
learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning.
Media
November 2024
Sertifikat Deep Learning AI Tensorflow Developer (Speacialization)
DeepLearning.AI • 5GH8IZIS2ZPZ
Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications.
Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
Build natural language processing systems using TensorFlow.
Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
Media
Oktober 2024
Machine Learning Specialization
DeepLearning.AI • HORSLR7UP4UQ
Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection
Build recommender systems with a collaborative filtering approach and a content-based deep learning method
Build a deep reinforcement learning model