About
After leaving a career path in mechanical engineering, I decided to jump into the world of data. I was first introduced into the world of data through the Coursera Data Analytics course. After finishing the course and wanting to further pursue my knowledge in the subject, I joined and completed a 13-week Data Science Immersive Program at General Assembly. During which I learned and exercised methodologies such as deep learning, supervised and unsupervised learning, natural language processing, ARIMA forecasting, and more.
Biography
- Birthday: 28 September 1998
- Phone: +1 925 285 2593
- State: California, USA
- Age: 24
- Degree: B.S Mechanical Engineering
- Email: jayson.villena@gmail.com
When I'm not working with data, I like spending time with family, going to the gym, and playing volleyball with my friends.
Skills
- Python
- SQL
- Data Visualization(Tableau, Seaborn, Matplotlib)
- Machine Learning(Deep learning, Scikit-learn, Supervised/Unsupervised)
- Webscraping
- NLP
- Git
- Statistical Modeling
- Streamlit
- Feature Engineering
- Data Cleaning
Education
Data Science Immersive
General Assembly
480 Hour Data Science Immersive focused on collecting, analyzing,preprocessing and modeling supervised/unsupervised machine learning algorithms.
Bachelors of Science, Mechanical Engineering
California State University, Sacramento
Undergraduate work consisted of general STEM topics such as math and physics, in addition to engineering coursework including
Have any questions? Comments? Let's Talk!
Email:
jayson.villena@gmail.com
Call:
+1 925 285 2593