cv | Muhammad Ryanrahmadifa (Ryan)

cv

Ryan is excited to contribute by assisting projects in achieving state-of-the-art data-driven decision-making implementations for industries in Indonesia, while looking at applications of machine learning from a systems engineering perspective to maximize effectivity and efficiency.

General Information

Full Name Muhammad Ryanrahmadifa
Date of Birth 09 July 2003
Languages English, Bahasa Indonesia

Education

  • 2021 - present
    Bachelor's Degree
    Bandung Institute of Technology
    • Concepts of Systems Thinking
    • Probability Theory, Industrial Statistics
    • Operations Research
      • Mixed Integer Linear Programming, Duality Theory, Transportation Problems, Assignment Problems.
      • Dynamic Programming, Network Flows, Markov Decision Problems, and Metaheuristics.
  • 2021
    High School Diploma
    SMA Negeri 8 Jakarta
    • Head of the Legislative Commission, Class Representatives
    • Vice Head of Regeneration, Class Representatives

Experience

  • Jul. - Aug. 2023
    Data Scientist
    IDX Partners x Rakamin Academy
    • Conducted the business understanding process towards the credit card & payment industry, followed by exploratory data analysis
    • Performed machine learning modelling and evaluation
      • Random Forest Classification, K-Nearest Neighbor, Gradient Boosting, Naive Bayes, and Artificial Neural Network (ANN) algorithms.
      • Evaluation via confusion matrices and F2 Score towards the accuracy.
  • Sep. - Dec. 2022
    Business Intelligence & Analytics
    eFishery
    • Designed, delivered, and maintained dashboards towards important metrics for the product team daily through Metabase
    • Performed data extraction, transformation, and loading for the data pipeline that included AppSheet API, Google Sheets, and Metabase
    • Maintained an intense communcation cross‑functionally with other departments to deliver ad hoc requests timely
  • Jul. - Sep. 2022
    TETRIS Program Scholarship Awardee
    DQLab
    • Used Python to perform descriptive analytics, web scraping using BeautifulSoup and Selenium; data processing and cleaning using pandas; visualizations using matplotlib and plotly; and deployed the analytics report as an interactive website with streamlit.

Personal Projects

  • Aug. 2023
    GAN-ImageGeneration
    • Paper implementation of deep learning through a Deep Convolutional General Adversarial Network for image generation.
  • Jul. 2023
    CV-ActionRecognition
    • Real-time motion tracking that recognizes action via LSTM networks and maps it into mouse and keyboard controls for computer devices.
  • Jul. 2023
    CV-EmotionDetection
    • Real-time face tracking that recognizes facial emotions via CNN and classifies them into a category.

Certifications and Awards

  • 2023
    • Deep Learning Specialization, Deeplearning.AI | Coursera
    • Machine Learning Operations (MLOps) Specialization, Deeplearning.AI | Coursera
    • Advanced Google Data Analytics Professional Certification, Google | Coursera
  • 2022
    • Machine Learning Specialization, Deeplearning.AI | Stanford University | Coursera
    • Google Data Analytics Professional Certification, Google | Coursera
    • Bronze Medalist of HackBiz (Hackathon x Business Case Competition) 2022, UGM
    • Semi‑Finalist of Gadjah Mada Business Case Competition 2022, UGM
    • Top Achiever of Data Analytics TETRIS Program, DQLab

Academic Interests

  • Deep Learning
    • Reinforcement learning for dynamic environments
    • Explainable artificial intelligence
  • Systems Engineering
    • Modelling for complex systems
    • Integrating interdisciplinary fields

Other Interests

  • Hobbies: Video editing, explore mathematics, and watch documentaries