Resume

I’m a Data Analyst III at GitHub in San Francisco, California 🌉

Key Skills

  • Led data modeling efforts to create more efficient and approable ETL data tables using Airflow for stakeholders.

  • Completed PhD degree in quantitative discipline with focus on collecting, analyzing, and interpreting data through machine learning models. Over 12 years programming in python, R, and SQL.

  • Analyzed large datasets (linear models, multivariate models, random forest, and time series analysis) and coded full-stack data science experiments in python (pandas, numpy, sklearn, R).

  • Communicated with 6 cross-functional business and government teams and led efforts to define new data collection and analytical processes. Increased data repeatability and metric scalability by 5% each month.

  • Worked with business and industry leaders to establish business needs. Translated questions valued at US$ 90 billion dollars into data science experiments. Identified practices that improve yields by 10%.

  • Wrote 40 technical documents including scientific papers, government white papers, and executive summaries of research from 20 statistically rigorous machine learning experiments.

Professional Experience

Data Analyst III

August 2022 - Present

GitHub

  • Created an Architecture Decision Record (ADR) and propose new data modeling to enable novel insight and help the company drive toward SLOs.
  • Achieved stakeholder consensus on ADR, and am currently building an ETL data pipeline using airflow to execute on the ADR.
  • I co-authored an analytics report on 2-factor authentication to create a more seamless sign-up and onboarding experience for our users. I used SQL and python to query data, create figures and produce statistics.

Postdoctoral data scientist

July 2020 - August 2022

Lawrence Berkeley National Lab

  • Led 6 agile and cross-functional teams of senior data scientists, ML engineers, and leadership at federal government’s National Labs to design 11 novel data collection and analytic pipelines.
  • Served as liaison between cross-functional data science teams and community of 300 of senior scientists and engineers across the National Lab network.
  • Supervised employees who build and deploy data visualization dashboards for 10 machine learning algorithms.

Adjunct Professor of Statistics

September 2019 - 2020

University of San Francisco

  • Taught and communicates technical statistics course to 30 undergraduate students each semester.
  • Developed all course material including presentations, coding exercises, exams, and homework assignments.

Postdoctoral Data Scientist

August 2019 - June 2020

University of Maryland and The Organic Center

  • Established end-to-end data science experiment impacting US$ 90 billion-dollar agriculture sector and improved yields by 10%.
  • Defined new data collection opportunities to create novel database, implemented multivariate machine learning regression model in R, and published widely cited technical document.
  • Spoke to over 220 business leaders with invited panel discussion about importance of carbon sequestration research and how our recommendations can impact future agricultural practices.

Data Science Intern

June 2018 - August 2018

DataONE

  • Planned and oversaw research team adopting GitHub as primary platform for collaboration on software.
  • Wrote 2 technical documents and created 3 data visualizations to share recommendation about data curation and sharing practices.
  • Prioritized tasks during fast-paced summer internship and analyzed data sharing practices in top research publications.

PhD Student

September 2014 - June 2019

Rutgers University

  • Built maximum entropy ML/AI classification algorithm and leveraged a large publicly available dataset to predict with 95% accuracy a US biosecurity threat using geospatial models.
  • Applied machine learning multivariate imputation algorithm to clean and quality check time series data and making 10% more accurate inferences over time.

Program Manager

2011-2014

Providence After School Alliance

  • Created data dashboards for executive leadership to monitor program’s KPIs including budget and impact.
  • Supervised team of 30 educators through a leadership style that combined setting clear expectations for high performance with patience for more junior employees.
  • Trained Providence Public School District educators through 6 sessions to improve their pedagogical skills.

Education

Rutgers University
PhD in Ecology and Evolution
Advisor: Julie Lockwood

2019

Boston University
B.A. in Biology

2008