About Me
In Spring 2022, I made the bold decision to forgo my admission to the integrated Master’s in
Professional Accounting (iMPA) program and instead pursue an entirely different path: business analytics.
It’s a choice I’ve never regretted! Since then, I’ve seen firsthand how analytics and data science can be
applied to everything from optimizing delivery routes to predicting critical health outcomes.
I've had the privilege of deepening my knowledge in these areas and sharing what I’ve learned with others.
Now, I’m eager to use analytics and data science to solve real-world business problems that make a difference in people's lives downstream.
Currently, I am working as a portfolio management analyst at Amherst.
I have a Master of Science in Business Analytics from the University of Texas at Austin,
where I previously earned my Bachelor’s in Business Administration in May 2024. As I continue to explore
the complex world of analytics and data science, I’m committed to developing my expertise and navigating this
rapidly evolving field.
Experience
Portfolio Management Analyst
Fall 2025 - Present Austin, TX
As my current role and first full-time position, I work with the portfolio management team to support investment strategy
and performance oversight for single-family rental portfolios. I also collaborate with the modeling team to develop and
optimize analytical models and valuation frameworks, enhancing my skills in data analysis, financial modeling, and strategic decision-making.
Portfolio Management and Modeling Intern
Summer 2025 Austin, TX
Working with both the portfolio management team and modeling team at Amherst, I gained exposure to various areas of the business,
including retail strategy, insurance, same-store financials, and customer survey analysis. This internship help me hone my skills
Excel and SQL along with exposing me to best practices for preparing materials and presentations to senior leadership and investors.
Data Science Capstone Project
Spring 2025 Austin, TX
For my MSBA Capstone project, I worked with Amherst on a resident retention project. Amherst tasked my team with cleaning/combining
lease, resident, and external market data and ultimately developing a renewal probability classification model to identiy top renewal
drivers that would lead to optimized portfolio performance.
Option III Learning Facilitator
Spring 2025 Austin, TX
In this role, I supported Dr. Mark Tsechansky with his his MBA and MS courses by grading assignments, managing discussion boards,
providing LMS support, and performing clerical tasks to enhance course delivery and student engagement!
Advanced Analytics Programming Grader
Spring 2024 Austin, TX
As a grader for Dr. Deepayan Chakrabarti, I created rubrics to assess 80 students understanding of Python
libraries, specifically Numpy, Pandas, Matplotlib, Scikit-Learn, and Statsmodels.api. Specifically, I graded
homework assignments, exams, and the final data analysis project.
Data Science Capstone Project
Spring 2024 Austin, TX
For my undergraduate Capstone project, I worked with NetApp on a customer engagement project.
Essentially, NetApp wanted my team to develop Python scripts to identify customers with reduction in spend
and predict customers who are likely to reduce spending soon.
Predictive Analytics and Data Mining Teaching Assistant
Fall 2023 - Spring 2024 Austin, TX
As a teaching assistant for Dr. Mark Tsechansky, in addition to grading quizzes and exams, I constructed and led
review sessions as a resource for over 250 students. Additionally, I refined existing Scikit-Learn class material/homework and lectured code on a regular basis,
earning the nickname "Super TA" among the students and my colleagues.
Procurement and Supplier Management Teaching/Research Assistant
Spring 2023 - Spring 2024 Austin, TX
As a teaching assistant for Dr. Michael Hasler, I developed evaluation criteria for case study homework in Excel and helped
establish ongoing student sourcing projects with UT Austin's Procurement and Payment Services. Concurrently, as a research
assistant, I updated case studies with current production and purchasing data and researched the electric aviation industry.
Operations Management Teaching Assistant
Fall 2022 - Fall 2023 Austin, TX
In this role, I led a team of TAs, managing up to 4 Canvas course pages to support over 240 students each semester through office hours,
review sessions, and exam administration. I also assisted Dr. Michael Hasler in teaching an executive class on supply chain
communication, emphasizing the bullwhip effect.
Operations and Business Process Improvement Intern
Summer 2023 McKinney, TX
Throughout my summer internship at Raytheon, I worked on a multitude of projects supporting four different product lines for the Advanced
Products Center utilizing Python, Excel, and Power BI. These projects ranged from automating test set down time trend and cost-yield analyses to creating
several dashboards for sub-assembly failures and production interrupt (PI) systems.
Study Abroad: Business Law in Edinburgh
Summer 2022 Edinburgh, Scotland
In the summer of 2022, I participated in UT Austin's Business Law in Edinburgh study abroad program, taking courses on Business Law and Ethics,
as well as International Law, at the University of Edinburgh. This program exposed me to various legal specialties, including constitutional, tort,
contract, and intellectual property law, with a focus on case law analysis.
Differential and Integral Calculus for Business Grader
Fall 2021 - Spring 2022 Austin, TX
As a grader for Dr. William (Bill) Wolesensky, I graded individual homework and group worksheet assignments on a biweekly basis for around 100 students
per semester. I was also responsible for providing detailed feedback to students.
Marshal
Winter 2018 - Spring 2019 Hong Kong SAR
While working with Senior Counsel William Wong of the Hong Kong Bar during his tenure as a Deputy High Court Judge, I contributed key recommendations
for the Skyline Credit Ltd. v Leung Hing Ching case, now a leading authority on calculating the effective interest rate in money lending. I also shadowed him,
studied landmark cases on precedent (e.g., Donoghue v Stevenson), and provided proofreading support.
Projects
Pursuing my passion for analytics and data science through hands-on projects has significantly enhanced my technical skills.
Below are some of the projects and competitions I have worked on thus far!
Projects
✈️ Dynamic Progamming: Airline Overbooking
Wrote a dynamic pricing and overbooking policy for airlines using dynamic programming and simulation, optimizing profit under stochastic demand, no-show risk, and seasonal trends over a 365-day horizon.
View
Project
🤔 Memora Vault
Created MemoraVault, a multimodal knowledge management system that processes PDFs, Word docs, and YouTube videos using Visual Transformers and Retrieval-Augmented Generation (RAG) to enable AI-driven, context-aware information retrieval and personalized lifelong learning.
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Project
🔴 Connect 4 Bot 🔵
Developed a cloud-hosted Connect 4 AI using a Convolutional Neural Network and Transformer model, containerized with Docker, and deployed with a front-end interface for user interaction (Login: dan / Optimization1234).
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Project
🔥 Wildfire Chronicles: California Data Insights
Analyzed California fire damage data to uncover patterns, clusters, and trends for community leaders and public safety advocates.
View
Project
🍅 Forecasting Restaraunt Ingredient Usage
Forecasted restaurant ingredient demand for shrimp, steak, and tomatoes using Bayesian modeling, exponential smoothing, and ARIMA to minimize waste, prevent stockouts, and optimize inventory.
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Project
💲 Estimating Experiential Value in Car Prices
Analyzed 15,260 Kelley Blue Book car reviews and specifications to decompose functional and experiential value components of prices, revealing significant impacts from brand sentiment and weighted review topics on MSRP.
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Project
📰 Election Coverage Bias in News Media
Created a heuristic using Event Registry API, NER, spaCy, and VADER to detect bias in news sources, aligning findings with established bias charts through analysis of voice and sentiment.
View
Project
🍻 Crowdsourced Beer Recommender System
Scraped reviews from RateBeer.com, performed word frequency and lift analysis, calculated similarity and sentiment scores, and provided beer recommendations based on evaluation scores.
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Project
📱 Entry-Level Luxury Car Market Analysis
Scraped messages posted in Edmunds.com discussion forums to identify top car brands, tested Zipf’s law, calculated lift ratios, and provided actionable insights using MDS mapping.
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Project
🍷 Red vs. White Wine
Engineered a extreme gradient boosting machine learning model (XGBoost) utilizing 11 chemical properties of 6500 different bottles of vinho verde wine from northern Portugal to predict whether the wine is red or white.
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Project
⚖ Bar Pass Rate Prediction Algorithms
Developed algorithms to assist with law school admissions, auditing for gender and racial bias, and found they performed fairly for gender but poorly for race, highlighting important ethical considerations.
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Project
☕ Lucky Lab Coffee Co. - Optimizing Pricing and Loyalty Strategies
Developed a data analysis framework and automated conjoint analysis to provide market insights, demographic findings, and actionable recommendations for Lucky Lab Coffee Co.
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Project
🤠 MIQP vs. LASSO
Investigated variable selection techniques from the perspective of an analytics consulting company to deterimine the computational feasibility of switching from LASSO to direct variable selection. Access to Jupyter Notebook in GitHub repository available upon request.
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Project
🚚 The Traveling Salesman Problem - A Variation
Automated truck route optimization using Gurobi and simulated annealing, reducing costs compared to manual planning by analyzing 500 package coordinates and route constraints. Access to Jupyter Notebook in GitHub repository available upon request.
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Project
💵 Marketing Budget Allocation
Developed a marketing budget allocation method to maximize ROI on a $10 million investment across multiple mediums, while adhering to spending constraints. Access to Jupyter Notebook in GitHub repository available upon request.
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Project
🚗 Ride-Hailing Services - A Data Driven Perspective
Conducted advanced analytics to assess the impact of time and weather on ride-hailing services in Boston, analyzing surge multipliers and cab type preferences using classification models.
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Project
Competitions
📡 Kaggle Competition: Child Mind Institute
Fall 2024
Developed a neural network utilizing actigraphy data, physical fitness assessments, and demographic information from the Healthy Brain Network to identify early signs of problematic internet use in children,
achieving a Quadratic Weighted Kappa score of 0.35. The winner is the team that submits severity index predictions closest to the actual severity index labels from a hidden test set.
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Article
🏠 Austin Houses Competition
Summer 2024, Placement TBD
Utilized a gradient boosting regressor machine learning model based on over 13,000 houses worth of data
scraped from Zillow to predict houses prices with a heavy emphasis on feature selection/engineering. The winner is the student who submits house price predictions
closest to the actual house prices from a holdout set.
View
Entry
🏀 NBA Machine Learning Competition
Spring 2023, Second Place
Engineered a random forest machine learning model utilzing historical NBA player data to
determine the optimal portfolio investment strategy. Utilized feature engineering, grid search cross-validation, and model comparison of ROC AUC scores
to generate a profit of $3.02 million out of a maximum $3.6 million.
View
Entry
Certifications
I’ve always enjoyed learning new concepts and technical skills beyond the classroom. Currently, I’m pursuing certifications in cloud environments and big data platforms (AWS, Spark, Hadoop, etc.). Below is a collection of certifications I’ve earned from various courses.
Snowflake Certificate
Hands-On Essentials: Data Warehousing Workshop
This certificate covers essential data skills including data warehousing, database development, JSON, Snowflake, and SQL.
LinkedIn Certificates
Tableau Essential Training
Power BI Essential Training
Learning Power BI Desktop
Learning Splunk
Supply Chain Foundations: Analytics
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