Data Scientist - building automation

• Jan 2022 - Present

Data Scientist

• Sep 2021 - Feb 2022

Teaching Assistant

• Sep 2016 - Sep 2021

Held office hours with students to review materials, answer general questions, and provide some assistance on assignments Prepared course material, slides and gave lectures

Research Assistant

• Sep 2016 - Sep 2021

CFD- Trained ANN Model for Approximating Near-occupant Condition for Real-time Simulation - Programmed in JAVA to automate CFD simulation in Star CCM+ and generated 6000 cases as training data - Provided insights on training of ANN regression model Probability-based clustering to identify spatial variability of wind conditions - Scraped wind data from one thousand weather stations across the United States using NOAA API in python - Summarized wind… Show more CFD- Trained ANN Model for Approximating Near-occupant Condition for Real-time Simulation - Programmed in JAVA to automate CFD simulation in Star CCM+ and generated 6000 cases as training data - Provided insights on training of ANN regression model Probability-based clustering to identify spatial variability of wind conditions - Scraped wind data from one thousand weather stations across the United States using NOAA API in python - Summarized wind direction by fitting into von Mises mixture distribution via Expectation-maximization (EM) - Carried out Hierarchical clustering on the obtained von Mises mixture distributions with Earth mover’s distance to reveal its topological characteristics and established wind-driven ventilation potential map Temporal analysis of time series data - Performed Fourier decomposition of yearly wind speed into different time scales to investigate its periodicity - Conducted K-means clustering on time series of daily wind speed using Dynamic Time Warping (DTW) distance and found optimal cluster number using Silhouette score to extract representative temporal patterns