Kirti Kairon
KirtiKairon.github.io/portfolio
Dr. [Your Name]
Data Scientist | Physicist | ML Researcher
🧠Technical Expertise
Languages & Tools: Python, SQL, MATLAB
Cloud & Data Platforms: AWS, Snowflake
Specialties: Predictive Modeling, Signal Processing, Unsupervised Learning, Data Engineering
🎓 Education
Ph.D. in Physics
The University of Texas at Dallas — May 2022
M.S. in Physics
The University of Texas at Dallas — December 2019
B.S. in Physics
The University of Texas at Dallas — May 2017
💼 Professional Experience
Data Scientist
Toyota Financial Services | June 2022 – Present
- Identified and resolved a critical flaw in the production data pipeline affecting 70%+ of active accounts, restoring pipeline integrity and analytical reliability.
- Re-architected the loan originations model, achieving a 50% lift in predictive performance and $1M+ in cost savings through improved default risk estimation.
Consultant (Machine Learning & Data Science)
Shawhin Talebi Ventures LLC | Dec 2020 – Present
- Designed end-to-end data pipelines for a landmark study on human performance in hyper-realistic, live-fire combat simulations, analyzing over 300 biometric variables.
- Applied unsupervised deep learning to ICU patient data, uncovering novel subtypes of sepsis with potential clinical significance.
📊 Select Projects & Publications
📌 Data-Driven EEG Band Discovery with Decision Trees
MDPI Sensors, 2022
Developed a fully automated methodology in Python to discover EEG frequency bands via decision trees on power spectra. This approach yielded a 2× improvement over traditional band boundaries and enables automated detection of neurophysiological markers.
📌 Decoding Environmental Effects on Physiology from Biometric Data
MDPI Sensors, 2022
Trained 100+ machine learning models in MATLAB to infer ambient particulate matter concentrations from biometric data with R² = 0.91. Discovered that smaller particles are more predictable, offering insights into environmental exposure and its physiological impact.
🎤 Talks & Lectures
- Causality: The New Science of an Old Question — GSP Seminar, Fall 2021
- Dimensionality Reduction — Guest Lecture, PHYS 5336, Spring 2021
- Fourier and Wavelet Transforms — Guest Lecture, PHYS 5315, Fall 2020
- A Brief Introduction to Optimization — GSP Seminar, Fall 2019
- Weeks of Welcome Poster Competition — UTD, Fall 2019
- A Brief Introduction to Networks — GSP Seminar, Spring 2019