Barrett Duna
Data Analytics | AI | Mathematics | Economics | Computer Science | Marketing | Writing | Entrepreneurship
MULTICATEGORICAL NEWTONIAN PHYSICS CLASSIFIER DISCOVERY
I developed a novel AI classification algorithm based on Newton’s laws of gravity.
RECENCY FREQUENCY MONETARY (RFM) ANALYSIS ON ECOMMERCE DATA
I explore RFM analysis on an ecommerce dataset, while proving mathematical properties of RFM.
Marketing Mastery
I’m a self-taught marketer. I’ve been in the trenches, lost some battles, struggled to gain traction, but won the marketing war.
My specialty is Facebook advertising. Many marketers see it as a channel that is very limited in application. I argue that this is false. Not every product or service is right for Facebook (particularly low-ticket items), but through ad differentiation, much is possible.
I can help you grow your business – it’s a task I do well. It just takes experience and creativity, two things I possess. Reach out and I’ll be happy to help.
Educational Background
Graduating with a BS in Mathematics / Economics from UCLA in 2013 I focused his elective coursework on Data Analytics and AI.
Courses included…
- Single and Multivariate Differential and Integral Calculus
- Real Analysis
- Complex Analysis
- Upper and Lower Division Linear Algebra
- Abstract Algebra for Applications
- Discrete Mathematics
- C++
- Probability Theory
- Mathematical Statistics
Additionally, I enrolled in three Ph.D. courses that include Statistical Surveying, Econometrics and Statistical Pattern Recognition (AI).
While at UCLA, I engineered a computational simulation of the primary and secondary ticket markets in Python for UCLA MBA professor Philip Leslie.
There I was tasked with converting a 30-page dense mathematical academic paper into a working computer simulation.
The project took a full 2 years of development and was designed to understand ticket market dynamics, such as price elasticity and broker interference in the market.
Live Nation Entertainment
My research assistant position was followed by a Data Analyst position at Live Nation Entertainment.
I was introduced to Live Nation Entertainment by Professor Philip Leslie and was hired for my expertise in the ticket markets.
My job was to analyze a large database of millions of ticket transactions.
Analysis included…
- Analyzing the effect of seating row and column on ticket resale prices
- Forecasting concert ticket sales to optimize profits
- Analyzing competitor pricing to learn more about dynamic pricing strategies
- Studying ticket broker behavior to prevent mass buying and reselling of tickets
UCLA Anderson School of Management
Current Passions
I have committed to lifelong learning. I continue my education by studying the many skills I am passionate about.
Artificial Intelligence
My AI journey began at UCLA while studying the subject in a Ph.D. course entitled “Statistical Pattern Recognition”.
Since then, I have spent countless hours passionately studying and practicing the science of AI.
Below are a small sample of all the AI projects I have created…
- A Reddit subreddit topic classifier based on inputted text
- A blog search engine powered by NLP techniques
- An automated day trading app that trades stocks based on live Twitter sentiment
- A gender predictor for the abalone species utilizing deep learning
Web Development Enthusiast
I have built many websites and web apps.
Here are a few web apps I have built in Python with Django…
- An organizational psychology management platform
- A social media site for crowdsourcing written content
- A web app with live second by second charting of stock prices and indicators
- A sales blog article search engine
- Various small apps to create a frontend interface for AI projects
Current Source of Income
I am currently the founder and CEO of Duna Services. Duna Services is a large umbrella of services, but right now, I’m performing digital marketing services, specifically specializing in Facebook advertising services.