“A Golden Retriever of data—driven to fetch insights that fuel impact.”


Education

  • Columbia University
  • – M.A. in Statistics (Starting 2024)
  • Pennsylvania State University
  • – B.S. in Statistics (Graduated 2021)

Prize


NSF LEAP “Harnessing Machine Learning to Improve Sub-seasonal-to-Seasonal Climate Predictions" Hackathon

  • Won 3RD Place, sponsored by NVidia, Amazon in January 2025.


ENAR Conference Finalist March 2025

ENAR Conference Finalist March 2025

  • Awarded Top Finalist Prize at ENAR, one of the leading academic conferences in biostatistics.
  • Conducted a project on machine learning for hypertension risk analysis using NHANES data.
  • Co-authored a research paper summarizing findings and model results.
  • Invited to present at the national conference among selected student teams.
  • Mentored by Professor Liangliang Zhang of Case Western Reserve University throughout the competition.

My Work Expereince


Around Technologies Inc.

Machine Learning Engineer
Mar 2025 – Present | New York, NY
  • Led Machine Learning analytics for the phase-one launch of a local NYC service-based delivery order app for neighborhood services
  • Improving ETA prediction accuracy and driving revenue growth through PyTorch-based model optimization and SQL-driven behavioral metrics.

Columbia University – Cancer Dynamics Institute

Research Intern
Jan 2025 – Present | New York, NY
  • Applied PCA and Bayesian EM algorithms in R to model chromosomal instability; contributed to a pending high-dimensional inference publication.

Columbia University – Vagelos College of Physicians and Surgeons

STEM Preceptor in  S-Prep Program
Oct 2024 – May 2025 | New York, NY
  • Mentored weekly for underserved high school students in Algebra II and STEM careers; 

JN Data Resolution LLC

         Statistical Programmer

Feb 2024 – Aug 2024 | Florham Park, NJ
  • Executed SAS-based analysis for clinical trial TFLs and validated CDISC datasets, improving data quality and regulatory compliance.

Clinpharma Clinical Research LLC

SAS Programmer
Jun 2023 – Feb 2024 | Princeton, NJ

  • Designed and analyzed pharmaceutical datasets using SAS and R, enabling regulatory-compliant reporting and simulation-based modeling.

Yangtze River Consulting LLC

SAS Programmer
Aug 2022 – Jun 2023 | Lawrenceville, NJ
  • Generated ad hoc clinical reports and performed QC for submission outputs using SAS/STAT and SAS macros.

Lone Cypress

Data Scientist Intern
May 2022 – Aug 2022 | Remote
  • Analyzed electricity usage across 380+ U.S. MSAs, reducing overcapacity by 28% and improving planning accuracy by 33%.

Finance Bureau (Municipal Government)

Data Analyst Intern
Dec 2018 – May 2019 | Mianyang, China
  • Built MySQL-based ETL dashboards to monitor tax data for 200K+ entities, improving revenue tracking and fraud detection accuracy.