I'm Naufal, an AI/ML enthusiast. With a various hands-on experience in data science, machine learning and AI, I thrive on solving real-world problems and developing innovative solutions.
- Programming Languages: Python, SQL
- Data Science: Exploratory Data Analysis, Data Visualization, Statistical Modeling, Machine Learning, Deep Learning
- Libraries/Tools: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Keras, TensorFlow, OpenAI, Git, Langchain, Chainlit
- Utilized Python to create an interactive dashboard showcasing insightful data visualizations.
- Conducted hypothesis testing using T-test and ANOVA.
- Developed a robust classification model to predict customer subscription likelihood based on phone call interactions.
- Employed unsupervised learning techniques to cluster credit card holders according to their profiles.
- Engineered a deep learning model to accurately forecast customer churn using provided data.
- Implemented an NLP model for categorizing news articles based on their titles and descriptions.
- Developed an application that predicts the closing price of financial instruments and extracts sentiment from financial news headlines.
- Created an efficient summarization tool using OpenAI's Whisper and GPT-3.5, aiding in informed decisions about podcast consumption.
- Created an LLM-powered chatbot that specialized in prompt engineering.
- Fully local RAG Chatbot
- AI agent to help in vacation planning
- Graduated with Honors from Hacktiv8 Data Science Bootcamp in June 2022.
