Projects

All of my projects from UT Austin, my study abroad in Denmark at DTU, and professional experience.

Current Projects

Check out what I'm working on right now!

UT ISPE Website Development

ML Based BP Prediction

Intern@AMD

A collection of my favorite projects from my time at UT Austin and the DTU!

Analysis of the Texas Power Grid

Designing a Carbon Neural BioFuel Plant

Simulating an Energy Island in Python

Developed a machine learning model in Python to continuously predict blood pressure from bio-impedance signal.
Utilized MATLAB for continuous signal processing and feature extraction from RF signal and FFT.
Proposed clusters based on underlying physics of fluid flow and validated my results with train, test, split.
Evaluated multiple models using residual analysis, prediction validation, and statistical analysis of errors.

Automated an internal data analysis and comparison tool and significantly enhanced its functionality using JMP.
Implemented database integration with Snowflake and reduced report generation time by 90%.
Developed a UI and merged it with internal tools to improve speed, convenience, and streamline user workflow.
Used principles of modular programming to prepare for future technologies and feature extensions.

Design of Separation Process for Hydrocarbon Mixutre using ASPEN: April 2024
Effects of Laminar and Turbulent Flow on Convective Heat Exchange in StarCCM: November 2023
Exploration of Four Machine Learning Models in R: April 2023
- Learned to implement train, test, split workflow and evaluate regression models in R.
- Used k-fold cross validation to tune model paramters and prevent overfitting.
- Performed prediction error analysis and evaluated the models on industry standard statistics.
Analysis of the Reliability of the Texas Power Grid in R: March 2023
- Used R to conduct a data-driven analysis of the Texas power grid and provide logical improvements.
- Applied data visualization and cleaning techniques to assess carbon output, and grid reliability.
- Employed statistical analysis and machine learning in R to draw actionable conclusions.

Biofuel Production Process Design and Economic Analysis: November 2022
- Developed a method of producing renewable transportation fuels from clean energy sources and hydrogen.
- Estimated the effectiveness and feasibility of our design both physically, and financially in the European market.
- Worked with a cross-functional international team to devlop our idea and present it at an energy showcase.
Excel Simulation of a Thermal Energy Storage: November 2022
- Simulated a thermal energy storage, determined the optimal design, and estimated yearly efficiency.
- Visualized energy production and storage over the year using Python.
- Presented a report on our design's predicted performance and estimated monetary and energy savings.
Python Simulation of an Energy Island: October 2022
- Simulated and optimized a coupled set of thermal and electrical energy storage devices using Python.
- Estimated the effectiveness and feasibility of our design both physically, and financially in the European market.
Implementation of HPLC for Biologic Drug Quality Analysis: October 2022
- Researched the implementation of a new chromatography analysis tool in the production of biosimilar drugs.
- Determined the financial and process related risks and benefits associated with the proposed changes to the process.