I'm a recent graduate from Binus University and Hacktiv8 Bootcamp, where I honed my skills in data analysis, machine learning, and data engineering. With a strong foundation in Python and SQL, I'm passionate about exploring big data and delving into deep learning prediction analysis. I'm eager to apply my knowledge to innovative projects and continue learning in the ever-evolving field of data science.
- Programming Languages: Python, SQL
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Looker Studio
- Machine Learning: Scikit-Learn, TensorFlow, Keras, XGBoost
- Data Engineering: Apache Airflow, PostgreSQL, Docker, PySpark
- Other Tools: Great Expectations, HuggingFace, Streamlit
- SmartStock: A stock price prediction application focusing on the banking sector, leveraging Time-Series modeling and Artificial Neural Networks (ANN).
- Coffee Sales Analysis: Analyzing customer preferences in the coffee industry to provide insights for startup coffee shop owners and baristas.
- Employee Performance Analysis: project delves into the intricate realm of employee performance analytics, aiming to uncover valuable insights that drive organizational success
- Predicting Anime Ratings for Streaming Platform Content Selection: project focuses on the development of regression models to predict anime ratings, employing a rigorous evaluation process to select the most effective model
Feel free to explore my repositories and reach out to me if you have any questions or collaboration opportunities!