About Experience Projects Skills

Hi, I'm

Tiancheng

Shao

Freshman, UCLA

About me:

I'm currently studying Business Economics at UCLA. I'm interested in Math, Finance, and Computer Science.

Socials:

Experience

June 2024 - August 2024

Research Intern under Code 673

Space Club at NASA GSFC

Worked as a paid intern under Dr. Mei-ching Fok at Goddard Space Flight Center. Analyzed the May 10th, 2024 storm. Described how far particle flux was able to penetrate L-shells. Compared Linear Regression and LSTM models' predictive power in describing expected proton and electron flux using solar wind parameters from satellite and ground observatories. Presented at the 2024 American Geophysical Society meeting

Python
Bash
Pandas
Numpy
Matplotlib
Tensorflow

June 2023 - August 2023

Research Intern

CISESS at UMD

Worked as an intern under Jun Dong, and Sirish Uprety. Used Tensorflow U-net, an image segmentation algorithm, to find the borders of iceberg A73. Processed data using PIL, Pandas, and Numpy. Training data was labeled by hand. Size, rotation, and location were calculated. Presented at the 2024 American Meteorological Society Meeting

Python
Pandas
Numpy
Matplotlib
PIL
Tensorflow

July 2022 - November 2022

Research Intern

University of Maryland, Department of Astronomy

Worked as an intern under Dr. Surja Sharma. Created a Long-Short term memory(LSTM) model to predict Disturbance Storm Time(DST), a measure of the strength of Earth's Ring Current, using WIND satellite parameters.

Python
Pandas
Numpy
Matplotlib
Tensorflow
Download Resume

Projects

Marketing Automation

DECA VBC

Used PyAutoGUI, PIL, and OpenCV to automate advertisement budgeting for the DECA Virtual Busines Challenge. Took advantage of simulated poll data to optimize target audiences for market using Excel.

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Python
Pandas
Numpy
Excel
Marketing
Managerial Accounting

Allocation Method Analysis

Montgomery Blair High School

Used Excel to showcase and compare cost allocation methods. Discussed their relation to corporate governance. Implemented a novel "Lattice Allocation" method(Bent, Caplan 2017) based on matrix principles of Linear Algebra. Results were within 0.1% error after only 3 operations.

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Excel
Powerpoint
Managerial Accounting

Statistical Tools

Developed a custom toolkit for chi-squared, t, and z distributions with CDFs and inverse functions. Streamlined hypothesis testing and probability calculations. Automated spreadsheet data analytics using Python.

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Python
R
Pandas
Matplotlib
Numpy
Scipy
Excel

Hausdorff Fractal Dimension Calculator

Montgomery Blair Math Team

Built a recursive algorithm–based simulator to generate fractals and compute Hausdorff dimensions via box-counting. Applied fractal analysis to natural features (e.g. coastlines and borders) for quantitative modeling and visualization. Achieved >0.6% error on known fractals.

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Python
GIS
Matplotlib
PIL

Skills

Languages

Python
HTML/CSS
Javascript
Java
React
C++
R
Matlab
Powershell
Bash

Data Science

Python
R
Matlab
Numpy
Matplotlib
Pillow(PIL)
Tensorflow
Pytorch
OpenCV

Business

Excel/Powerpoint/Word
Financial Accounting
Managerial Accounting
Marketing
Tax Law
Business Law and Ethics