- π I'm a computer science student at the Colorado School of Mines.
- π± Currently working on a retail transactions analysis project using data mining algorithms.
- π Based in Denver, Colorado.
- π Interested in data science and machine learning.
- Languages: Python, C++, SQL
- Frameworks & Tools: Pandas, NumPy, Matplotlib, Jinja, Swagger
- Technologies: SQL, NoSQL
- Dynamic Sparsity Neural Network Framework: Framework for neural networks that dynamically adjusts the sparsity of connections during training to optimize computational resources and improve performance.
- Retail Transactions Analysis: Analyzing retail transactions using Apriori and FP-Growth algorithms.
- Email: [sbangapadang22@gmail.com]
- LinkedIn: (https://www.linkedin.com/in/samuel-bangapadang/)
Thanks for visiting my profile! Feel free to reach out if you'd like to connect. π