About Me
I used to be blown away by reversing a string in Python for detecting a palindrome, now I've seen
data science be used to detect earthquakes and breast cancer, as well as optimize business processes
and logistics through the current AI revolution. Every day I grow more impressed with the limitless capacity for data scientists and what
they can accomplish, and being apart of that is something that I constantly strive for.
I am a fourth year Business Analytics & Computer Science student at the University of Texas at Austin,
and I'm always learning more about the intricacies of data science & ML/AI as I attempt
to navigate the massive field of data and become an expert in it myself.
Experience
AI & Data Engineering Intern - Deloitte
Summer 2024 Austin, TX
Throughout my summer internship at Deloitte, I worked on a project for the state of Tennessee
where I helped design, develop, and maintain the production of a system that will help ensure
healthcare providers provide a higher quality of care to their patients.
Data Science Student Partner - Microsoft
Spring 2024 Austin, TX
As apart of my Capstone project in my final Business Analytics class, I worked with Microsoft
on an automation project. Essentially, Microsoft wanted me to
develop a Python script that automatically generates a PowerPoint slide deck to replace the workload
for their internal financial team that creates them for monthly financial reports.
Research Assistant - McCombs
Spring 2023 - Spring 2024 Austin, TX
As a research assistant for two professors at McCombs, I used Python to analyzing three decades of data from six reputable journals
in the fields of Finance and Management, as well as constructed difference-in-differences & time-series analysis to showcase changes
between the fields as well as changes over time.
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Data Science Intern - Cencora
Summer 2023 Austin, TX
Incoming Intern
Data Analyst Intern - Integra FEC
Fall 2022 Austin, TX
As a data analyst intern at Integra FEC, I used Python to investigate trading data to create statistical
models showcasing likelihood of insider trading at various companies.
Data Science Intern - NWF Strategies
Summer 2022 Austin, TX
As a Data Science intern at NWF Strategies, I used Python and PowerBI to help the company leverage data to aid its political candidates during election processes, as well as pick candidates to support.
Web Development Intern - AAPDN
Summer 2022 Austin, TX
As a Web Development intern at The American Academy Of Pediatric Neuropsychology, I helped develop and maintain their
website, and I spearheaded various data gathering initiatives.
Projects
Pursuing my passion for Data Science through projects is something that has allowed to me drastically improve my technical skills, and
competing in various competitions allows me to test those skills against others. Below are various projects and competitions
I have worked on.
Projects
📱 The Advancement of AI and ML
An independent research paper discussing everything revolving around the continued development of Artificial Intelligence and Machine Learning.
View
Project
💻 Exploring Austin - A Data Driven Perspective
As a student at UT Austin, I wanted to explore everything about Austin through the perspective of data. I looked at various data sets to cover everything Austin related.
View
Project
🎮 Video Game Analysis
I analyzed 4 decades+ of Video Game Data to determine what makes a video game highly rated, performed sentiment anaylsis on Video Game
Reviews, and lastly utilized various machine learning models to create a genre classifcation model.
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Project
📚 Chat Bot
I created a chat bot in Python using NLP and Machine Learning to imitate my favorite fictional
character, Eren Yeager from the TV show Attack on Titan.
View
Project
🦸 My Beginner Portfolio
A compilation of all of my beginner projects within data science.
View
Project
Competitions
💾 NBA Machine Learning Competition
Fall 2023, First Place
Engineered a random forest machine learning model utilzing historical NBA player data to
determine the optimal portfolio investment strategy. Created the winning machine learning model through feature engineering, grid search,
and model comparison of ROC AUC scores.
View
Entry
💾 Machine Learning Data Science - Data Hackathon
Spring 2023, Finalist
Analyzed AI generated vs. Human generated product reviews through Python Machine
Learning and Logistic Regression.
View
Entry
💾 Escape McCombs - Data Competition
Spring 2023, 3rd Place
Solved various coding and logical challenges
to "escape McCombs". This was essentially a technically oriented virtual escape room.
View
Entry
Certifications
I've always loved trying to learn new concepts and technical skills outside of my classes, and taking online courses and certificaitons is something that I've found to be incredibly effective towards my learning style. Below is a compilation of various certifications I've recieved through taking numerous courses.
Google Certificate
Google Data Analytics
This certificate is an introductory course to learning key analytical skills and covers SQL, R, Tableau, and Excel.
Snowflake Certificate
Hands On Essentials - Data Warehouse
This certificate teaches various data skills such as data warehousing, database development, JSON, Snowflake, and SQL.
LinkedIn Certificates
Python for Data Science Essential Training Part 1
Python for Data Science Essential Training Part 2
Python Data Analysis
Advanced Python
SQL: Data Reporting and Analysis
R Essential Training: Wrangling and Visualizing Data
Tableau Essential Training
Power BI Essential Training
Learning Excel: Data Analysis
Introduction to Web Design and Development
The Non-Technical Skills of Effective Data Scientists
Predictive Analytics Essential Training: Data Mining
Data Fluency: Exploring and Describing Data
AWS Essential Training for Developers
Learning Azure DevOps
Learning Cloud Computing: Core Concepts
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