Personal Details



A few interesting things about me: I love (1) to read science fiction (Three Body Problem Series so far is my #1 pick), (2) playing ultimate frisbee with friends and bike riding all the city and suburbs of Chicago, and (3) learning. Every day I push myself to learn something new, whether that be about building a website (ironically), data science, or apologetics (think: questions about the Bible).

On top of recently graduating with a degree in Information Systems & Operations Management from Emory Goizueta Business School, I also plan on starting work as a data/BI analyst. I anticipate my work to revolve around utilizing SQL, PowerBI/Tableau, and Python to organize, analyze, and vizualize data—whether the data itself is actively used or actively collecting dust.

About me

Data Analytics

“Intuition is the use of patterns...already learned, whereas insight is the discovery of new patterns.” – Gary Klein, psychologist

Data Vizualization

I leverage Tableau to discover key insights to some of the hardest questions in business.

Machine Learning

I utilize Python to develop, optimize, and implement machine learning systems.

Behavioral Economics

I am passionate about understanding diverse consumer behavior—both on a B2C and B2B level.

Collaboration

I enjoy working with others to create strategies worth implementing.

Artificial Intelligence

In my free time, I experiment with AI tools like ChatGPT and Casual (think: AI version of Excel).


Data Management

Excel (Macros, Data Migration) - 4

Databases (MySQL, MS SQL Server) - 3

Shell Scripting (Unix, VBScript) - 2

Machine Learning

Python - 3

Modeling (RapidMiner, NumPy) - 3

Algorithms (Decision Trees, Regression) - 2

Data Analytics/Vizualization

Visualization (PowerBI, Tableau) - 4

Statistical Methods - 3

Teaching / Presenting - 3


Projects on SQL, Tableau, & more

Take a look at my recent work.

May 1, 2023

When crime, climate, & socio-economic data come together (MySQL, Python, dbForge)

Learned how to...

  • Build a storage-efficient data warehouse
  • Construct four data pipelines using pandas library in Python
  • Perform data cleaning for 46K+ records using dynamic SQL query logic

  • Key insight: there is a strong, positive relationship (r-value = 0.71) between the number of crimes and population estimates by county.

    May 1, 2023

    Using Predictive Analytics with Trending YouTube Videos (SQL, Python)

    Maximized the success of sudo-YouTube channel using a dataset with over 400K trending YouTube videos spanning from 2020 to 2023.

    Key insight: if the first video is labeled as "Entertainment" and includes the keywords “official” or “marvel”, the new video would be predicted to get 5,095,687 views.

    Dec 2, 2022

    What Factors Influence Author's Success on Amazon? From 2009 to 2021, here are the Top 100 authors & books by year (Tableau)

    Developed a multi-page dashboard utilizing parameters, drop-down menus, and functions to create Treemaps, Box & Whisker Plots, and Packed Bubbles.

    Key insight: the average author making it onto Amazon's Top 100 list achieves a rating of about 4.7, with the most popular author being Delia Owens (1.7M overall reviews).