Develop new CNN architecture and use the MNIST dataset for handwritten digit images recognition. Compare with the classic LeNet architecture which has around 45 thousands parameters. Out model has less error on validation. The model has accuracy of 99.45% on training.
Using data science and engineering techniques, scrape data for dollar index, metals price, stock indices, and crafting to have one single dataset for training. Built Logistic Regression and Linear Regression models for predicting the movement of the bitcoin.
Perform data analysis and visualization on the baseball dataset. Use the polar chart, and radar chart from ChartJS to draw the visualization.
Basic line chart and bar chart for visualizing the death per captita for each countries during the pandemic.
Use the Arduino Uno and other sensors to build a smart watering system. The system will read the soil moisture, air humidity, water level, and water pump solenoid to water the plants. The system also will alert the user for any malfunctions in the system: pump failure, sensor failures.
Bachelor of Science in Computer Science
Concentration: Artificial Intelligence
12/2019 - 05/2023
GPA: 3.87/4
Honors: Magna Cum Laude
Associate of Applied Science in Automotive Technology
08/2018 - 08/2019
GPA: 4/4
Graduate with Honors
Intermediate Cybersecurity Analyst
10/2023 - 11/2023
Data Science and Analytics
04/2020 - 10/2020