Developed an Artificial Neural Network, Convolutional Neural Network, and Recurrent Neural Network using an Udemy course. Implemented the ANN to simulate customer retention for a financial institution, applied the CNN on a dataset of 10000 images to distinguish whether a given image is of a cat or dog, and developed an RNN to predict the stock price of Google using 5 years of prior data. All deep learning models and visualizations were created using the Numpy, Pandas, Matplotlib, Tensorflow, and Keras libraries.

Built an Artificial Neural Network to analyze the status of thousands of real-world loans using Tensorflow and Keras. Performed comprehensive data preprocessing including data visualization using the Numpy, Pandas, Seaborn, and Matplotlib libraries. The model achieved over 85% accuracy once testing and training were complete.

Collaboratively developed a Java project capable of solving multivariable linear systems using Gauss-Jordan Elimination. Coded multiple files, classes, and methods connected by OOP principles including a dedicated matrix class to convert the system to matrix form. Extensively utilized the BigInteger class to expand functionality to large numbers and fractions.

Created a non-contact respiratory rate monitor using a Raspberry Pi, Environmental Sensor, and OLED display (Sparkfun QWIIC Kit). Gained experience programming microcontrollers and working with the I2C connector interface. Drafted a formal meta-analysis in APA format, and extensively conducted research on similar implementations. Compared the efficacy of research implementations against my monitor using statistical data analysis and achieved above 90% accuracy over 50 trials.

Enrolled in and completed the following courses on Udemy:​

1. GitHub Ultimate: Master Git and GitHub Beginner to Expert

2. Agile Crash Course: Agile Project Management, Agile Delivery

3. The Modern Python 3 Bootcamp

4. Python for Data Science and Machine Learning

5. Python for Data Structures, Algorithms, and Interviews

Currently completing the following courses:

1. Deep Learning A-Z: Hands-On Artificial Neural Networks

2. Python for Computer Vision with OpenCV and Deep Learning

3. The Python Mega Course: Build 10 Real-World Applications

4. Java Programming Masterclass for Software Developers

My current skillset is the following:
Programming:
Python, Java, C++, Git
Technologies:
Tensorflow, Power BI, Anaconda Navigator, Jupyter Notebook, IntelliJ, Visual Studio Code, GitHub, Microsoft Office Suite, Command Prompt, Solidworks, Trello, PySpark
Technical:
Deep Learning, Data Science, A.I., Object-Oriented Programming, Human-Centered U.I. Design, Data Structures, Algorithms
Math/Physics:
Differential Equations, Calculus, Linear Algebra, Probability and Statistics, Classical Physics, Modern Physics
Languages:
English, Spanish, Telugu