About Me
Derryl Odja is a Computer Science student from Indonesia. He is passionate about data and artificial intelligence, constantly exploring ways to leverage technology for innovative solutions. With a strong foundation in programming and analytics, he is eager to make an impact in the tech industry.
Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
TensorFlow
Keras
OpenCV
NLTK
Librosa
Streamlit
Tableau
PyTorchProjects
EduPredScore
A simple Machine Learning application that can predict student scores based on several interrelated features. Through the application of regression concepts in machine learning, we aims to provide users with predictions and insights regarding their educational performance.
Tools: Python, Pandas, Matplotlib, Scikit-Learn, Streamlit
NLP Project - Mental Illness Detection with Sentiment Analysis
Focusing on classifying five key categories: addiction, anxiety, autism, depression, and schizophrenia. I employed a comparative approach, evaluating the effectiveness of various Machine Learing and Deep Learning models.
Tools: Python, Pandas, Matplotlib, Scikit-Learn, Tensorflow, Keras, Streamlit
Speech Emotion Classification with CNN-LSTM-CLSTM from CREMA-D
Building a CNN, LSTM, CLSTM models to classify 5 categories emotions (angry, disgust, fear, happy, neutral) from CREMA-D .WAV files using feature extraction techniques like MFCC and data augmentation, along with training and evaluating the models on the processed dataset.
Tools: Python, Pandas, Matplotlib, Librosa