About Me

Senior Data Scientist at SeatGeek

Entertainment

Chief AI Engineer at Ainnocence

BioTech

I believe being genuine and nurturing, along with a professional driven attitude, is an essential combination for people in the field of data science.

Data Science | Machine Learning | Deep Learning | Gen AI (LLM) | Mathematics | Statistics

Python | SQL | Databricks | Snowflake | Redshift | Looker | Tableau | AWS | Git

Experience

Senior Data Scientist @ SeatGeek, Inc. | Oct 2025 - Present, Remote (Los Angeles)

  • Led the design and implementation of SeatGeek’s event recommendation system, leveraging artist similarity metrics and user behavioral data to drive personalized recommendations
  • Collaborated closely with the Product Analytics team, applying regression analysis and A/B testing to identify and validate opportunities for optimizing UI/UX across the website and mobile app
  • Refined and maintained predictive models to forecast ticket demand and pricing trends, enabling data-driven business decisions and revenue optimization

Senior Data Scientist @ AXS | Jan 2022 - Present, Los Angeles, CA

  • Owned and led the Dynamic Pricing project from scratch at AXS, utilized by both music and sports clients
    • Built a stack model (supervised ML and mathematical projection) to predict different events' demands
    • Developed a price optimization model to find the best price for each seat for maximum potential revenues
    • Made approximately 750K price recommendations for ~250 events in the US daily, generating 3M additional revenues in 2023 so far
  • Created multiple AI-based chatbots for 1) company internal information search, 2) client service team, and 3) call center
    • Improved work efficiency for cross-team projects and helped clients and customer service team find better solutions
  • Refined the Broker Detection Model (classification) and helped the team create event recommendations for email marketing
  • Assisted in building data pipelines between AXS database and third-party vendors for daily automated data ingestion

Chief AI Engineer @ Ainnocence | Oct 2023 - Present, Remote

  • Led the development and refinement of advanced deep learning models, including LSTM, Transformers, and GNN, significantly boosting the company's AI capabilities and application performance.
  • Implemented AI Strategies and integrated cutting-edge AI technologies, deploying scalable and robust AI solutions that met evolving business needs and propelled innovation in AI applications.
  • Optimized AI Platform and managed platform maintenance, ensuring system reliability and efficiency.

Data Scientist @ Aviana Global Technologies | Feb 2020 - Jan 2022, Los Angeles, CA

  • Participated in the design, development, implementation, and ongoing maintenance of NEMESIS, a new generation DS tool
  • Worked in support of the consulting team building ML solutions such as churn prediction and segmentation analysis
  • Built connections between Nemesis engine and different SQL servers such as IBM DB2 and Microsoft SQL server, which helped the company secure a new contract with a client

Research Fellow @ Birmingham-Southern College | Jul 2018 - May 2019, Birmingham, AL

  • Built a tactile input modality called CodeBox64 utilizing Python, raspberry pi, and 3D-print with Dr. Amber Wagner
  • Offered visually impaired students in K-12 an access to interact more easily with Scratch, a block programming language
  • Won 2nd Place at 2019 ACM SIGCSE Student Research Competition Undergraduate Category with two publications

Data Analyst Intern @ Chinese Petroleum Engineering & Construction Southwest Co. | Jul 2018 - Aug 2018, Chengdu, China

  • Cleaned data using Python and assisted the Network Information Department in establishing a Directory Search system
  • Created a database in MS SQL Server with other interns containing all employee info, which was used in the search system
  • Managed and maintained employee’s data using SQL in MS Management Studio such as altering, adding and deleting

Education

University of Southern California | Aug 2019 - May 2021, Los Angeles, CA

Master of Science in Analytics

Dean's List

Birmingham-Southern College | Aug 2015 - May 2019, Birmingham, AL

Bachelor of Science in Mathematics

Summa Cum Laude (Valedictorian)

Robert Hewlin Jackson Meritorious Scholarship Award

Mathematics Faculty Outstanding Senior Award

Davis Scholarship in Mathematics

Dean's List

Publication

Evaluating a Tactile Approach to Programming Scratch | ACM New York, NY, USA · Apr 18, 2019

  • Computer Science in K-12 is continuing to become more prevalent. Because learning syntax and debugging can be burdensome, many teachers in K-12 use block languages to teach their students. Block languages, such as Scratch, allow students to focus on simple programming concepts and logic, and therefore, make computer programming easier and more approachable to students. However, block languages are not accessible to students with visual impairments because of block-environments' high dependence on visual aspects. This paper describes an innovative peripheral device that can help students with visual impairments access Scratch by simply remembering six buttons and guided by auditory cues generated by the computer. In order to test CodeBox64's usability and efficiency, a simple user study was conducted. Based on the data collected from the user study, CodeBox64 functioned properly and efficiently.

Using Touch and Sound to Program Scratch | ACM New York, NY, USA · Feb 20, 2019

  • This research invented a tactile input modality which can help visually impaired students access Scratch, a block programming language, more easily using Raspberry Pi and Python. In order to test the usability and efficiency of CodeBox64, an experiment was designed and conducted. The results showed that CodeBox64 functioned properly and was able to provide an access to Scratch for students with visual impairments.

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