I am a recent graduate with a passion for Data Science, Machine Learning, and Artificial Intelligence engineering. I am certified as a TensorFlow Developer. I am eager to apply my academic knowledge and practical skills to real-world problems, aiming to make a meaningful impact through innovative solutions. I'm looking for my first job in the field of Data Science, Machine Learning, or AI engineering.

• Bachelor of Informatics Engineering
  Dian Nuswantoro University, 2024. Graduated with a GPA of 3.82, completing the program in 3.5 years with honors (Cum Laude).

• Title: Emotion Recognition From E-Commerce Customer Reviews Using Transformer-Based Deep Learning
• Description: This research explores the application of a Transformer-based deep learning architecture to identify emotions from customer reviews in Indonesian-language e-commerce. Using a dataset of 5,400 customer reviews, the model is designed to classify five categories of emotions: Happy, Sadness, Anger, Love, and Fear.
• Technologies Used: Python, Pandas, Numpy, TensorFlow, Keras, Google Colaboratory, Streamlit.
• Link to Project & Thesis: https://github.com/devapratama/text-emotion-recognition

Here are a few highlights of the projects I have worked on:

• Description: This is the final project from the Kampus Merdeka independent study program at Rakamin Academy's Data Science Bootcamp 2023. I led a team of 7 members to successfully complete this project. The focus of this project was on analyzing customer data to provide actionable recommendations for policy makers and marketing teams. Additionally, we developed a predictive model to identify potential customers likely to purchase a newly introduced vacation package.
• Technologies Used: Python, Pandas, Matplotlib, Scikit-learn, Google Colaboratory, Streamlit.
• GitHub Repository: https://github.com/devapratama/travel-purchase-predictor

• Description: This project focuses on Skin Disease Image Classification using transfer learning with DenseNet121. As part of the "SkinSight" team for the Bangkit 2023 Capstone Project, I contributed to the development of the machine learning model. Our goal was to accurately classify various skin diseases, leveraging advanced deep learning techniques to aid in early detection and diagnosis.
• Technologies Used: Python, TensorFlow, Keras, Google Colaboratory, Flask.
• GitHub Repository: https://github.com/devapratama/Skin-Disease-Classification

• Programming Languages: Python, SQL
• Machine Learning: Scikit-Learn, TensorFlow, Keras
• Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
• Databases: MySQL, PostgreSQL
• Tools & Platforms: Jupyter, Git, GitHub, Streamlit

• LinkedIn: Ahmad Sabil Deva Pratama
• Email: [email protected]