Hi, I’m Muhammad Rafli, a Fresh Graduate of Data Science Major with a strong focus on machine learning, data analytics, and applied data science.
I enjoy working with real-world data problems — starting from raw, messy data to building analytical models that generate actionable insights. My experience includes developing LSTM-based sentiment analysis models, RFM customer segmentation, and computer vision systems for image classification using deep learning.
Throughout my projects and internships, I have worked with tools such as Python, SQL, TensorFlow, scikit-learn, and data visualization libraries, emphasizing model evaluation, interpretability, and practical deployment.
I am currently seeking opportunities where I can grow as a data scientist, contribute to data-driven decision making, and work on impactful problems at scale.