Dr. Aurora LePort

Hello World!

I'm a Neurobiologist (PhD) and Data Scientist whose passion lies in understanding & predicting human behavior. I thrive on building truly transformative experiences that aim to improve as many lives as possible.

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Resume

Experience

Verizon Wireless                                                                                                 Irvine, CA

Data Scientist                                                                                                       Jan 2017 – Present

  • Forecasting customer behavior using machine and deep learning techniques to build predictive models based on millions of data points and terabytes of data. Analyses conducted in Teradata SQL, SPSS Modeler and Python
  • Constructed an anomaly detection system, successfully identifying users attempting to access unauthorized/sensitive information on Verizon's Enterprise Data Warehouse. SQL and R for programing, Shiny to host real-time dashboard of results
  • Presenting findings to cross functional teams (i.e. Data Science, Business Intelligence and IT Security)
  • Progressing self-directed learning by completing MOOCs on SAS, SPSS, Machine Learning and Statistics

Cryo Innovations                                                                                   Newport Beach, CA

R&D Consultant                                                                                              Sep 2016 – Nov 2016

  • Optimized sales and discerned health benefits of cyrotherapy, providing a small business with marketing and scientific direction
  • Enhanced company’s web content to contain scientifically valid and informative language
  • Aided in market analysis by gathering information on competitors’ business models

The Data Incubator                                                                                  San Francisco, CA

Data Science Fellow                                                                                        Mar 2016 - May 2016

  • Full-time data science program accepting top 2% of PhD applicants
  • Analyzed 1000 MB Kickstarter dataset optimizing project selection using SQL, Python, Machine Learning, Cross Validation, Logistic Regression and Random Forests to predicted, with 83% accuracy, the likelihood a project would be funded or rejected.
  • Used Natural Language Processing – Beautiful Soup, regex, tokenization, TF/IDF to handle 941MB of unstructured json files

  • Parsed stackexchange.com and used PySpark to create Resilient Distributed Datasets (RDD) correlating users’ reputations to types of posts made

  • Displayed real time geo-locations of Manhattan busses using MTA’s API, CartoDB, Leaflet js, Heroku and Flask

grandPad Inc.                                                                                                   Orange, CA

Head of Research                                                                                          Mar 2015 – Jun 2016  

  • Tech startup aiming to connect seniors to family and friends via a senior friendly tablet computer

  • Analyzed 384 MB of user data, deducing frequency of app usage, per user type

  • Collaborated cross functionally with marketing and engineering teams, implementing and identifying product optimizations (e.g. directing focus to apps creating impact)

  • Directed research vision: designed protocols to test changes in seniors’ wellbeing

  • Consulted with 4 senior-care facilities, measuring patient retention after grandPad use

  • Acquired investors & scientific collaborators through effective presentation of research

  • Advanced grandPad web traffic by publishing scientific blogs relevant to grandPad users

Blue Marble Game Co.                                                                                    Altadena, CA

Intern | Research Scientist                                                                                Sep 2014 – Feb 2015

  • Formed concept of computer game to reduce falls by enhancing brain/physical fitness

  • Crafted peer-reviewed scientific protocol to test hypothesis

Stark Lab, University of California Irvine                                                             Irvine, CA

Doctoral Fellow                                                                                               Sep 2009 – Sep 2014

  • Pioneered the study of superior autobiographical memory using a combination of MRI, behavioral & cognitive tests

  • 5+ years analyzing real-world data

  • Authored six peer-reviewed papers, garnering media coverage on 60 Minutes

  • Mentored and managed 20 research assistants

 

Education

Ph.D. Neurobiology and Behavior
UC, Irvine
September 2014

B.A. Psychology, Minor Biological Sciences
UC, Irvine
September 2008

 

Skills

Proficiency:

SQL

Python + associated libraries (e.g. scikit-learn, Pandas, Bokeh, etc.),

Excel, Unix/Linux

Working Knowledge:

R

SPSS

Flask

 
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