Heather Simpson

Heather Simpson Email and Phone Number

Data Science Manager at Intuit @ Intuit
mountain view, california, united states
Heather Simpson's Location
San Francisco Bay Area, United States
Heather Simpson's Contact Details

Heather Simpson work email

Heather Simpson personal email

n/a

Heather Simpson phone numbers

About Heather Simpson

I love data. Seriously. My mother likes to joke that my first word wasn't "Dada" but actually "data". Experience with: statistical modeling, data analysis, SQL, Python, Spark, R, regression modeling, natural language processing, NLP, machine learning, AWS, Scikit-learn, Pandas, Matplotlib, Git, Unix/Linux, iPython/Jupyter notebook, linguistics

Heather Simpson's Current Company Details
Intuit

Intuit

View
Data Science Manager at Intuit
mountain view, california, united states
Website:
intuit.com
Employees:
12187
Heather Simpson Work Experience Details
  • Intuit
    Manager
    Intuit Oct 2021 - Present
  • Intuit
    Staff Data Scientist
    Intuit Aug 2018 - Present
  • Intuit
    Data Scientist
    Intuit Sep 2016 - Present
  • Insight Data Science
    Fellow
    Insight Data Science Jun 2016 - Present
    An intensive seven week post-doctoral training fellowship bridging the gap between academia and data science
  • Medium One
    Intern
    Medium One Jan 2016 - May 2016
    Santa Clara, Ca
    - Managed tutorial creation for IoT data collection/analysis cloud-based platform- Worked with software engineers to develop Javascript code used to control open-source IoT hardware devices- Created Python code to modify workflows on Medium One platform
  • Uc Santa Barbara
    Phd Candidate In Linguistics With Cognitive Science Emphasis
    Uc Santa Barbara Sep 2010 - May 2016
    Programming Languages: R, PythonResearch Projects: • Dissertation: modeling how units created through pitch changes and rhythm in spontaneous speech break up speech into 'bite-sized' pieces that we can process in our limited short-term memory • used generalized additive mixed model to investigate whether predictors were non-linear, and the shape of their function w.r.t. the dependent variable • used measure of shared Shannon information to investigate how much people repeat words and structures that they and others previously used in a conversation • used pointwise mutual information (PMI) to measure association strength for bigrams in corpus and compare with recall-based association strength• used binary logistic mixed effects regression to model the factors governing Korean adjective order preferences (e.g."small blue chair" vs. "blue small chair") in 35-million-word Korean corpus• used binary logistic mixed effects regression to model the acoustic cues contributing to categorization of Japanese /s/ sounds by Korean speakersTechnical Skills: • 5+ years experience using R to process, analyze and visualize data• 2+ years experience using Python to process, analyze and visualize data (Pandas, Seaborn)• Experience using NLTK Python tool kit for natural language processing (parsing, tokenizing)
  • Uc Santa Barbara
    Teaching Associate/Assistant
    Uc Santa Barbara Sep 2011 - Dec 2015
    I have served as a Teaching Associate for 3 undergraduate course sessions, and as a Teaching Assistant for 10+ undergraduate course sessions. Responsibilities:• Creating lectures and other course materials that effectively translate complex academic concepts to a non-specialist audience • Assessing student performance
  • Kaplan International English
    Instructor
    Kaplan International English Mar 2015 - Sep 2015
    Santa Barbara, California Area
    • taught English to highschool and college-age students
  • Linguistic Data Consortium
    Project Manager
    Linguistic Data Consortium Sep 2007 - Aug 2010
    Greater Philadelphia Area
    At LDC, I managed 4 multi-year, multi-million dollar linguistic data collection/annotation projects supporting Human Language Technology (HLT) evaluation. I led a team of technical and annotation staff in creation of training and test data, coordinating with a team of in-house software engineers to address data and software needs, and translating client needs into a concrete plan for data creation. I worked in a Linux environment.Projects: Automatic Content Extraction (ACE), Global Autonomous Language Exploitation (GALE) Distillation, Less Commonly Taught Languages (LCTL) and NIST Text REtrieval Conference (TREC) Video Events
  • Linguistic Data Consortium
    Lead Annotator
    Linguistic Data Consortium Jan 2007 - Aug 2007

Heather Simpson Skills

Linguistics Data Analysis Research Programming Python Teaching Statistics Natural Language Processing R Project Management Semantics Quantitative Research Editing Information Extraction Qualitative Research Microsoft Office Javascript Html Css

Heather Simpson Education Details

Frequently Asked Questions about Heather Simpson

What company does Heather Simpson work for?

Heather Simpson works for Intuit

What is Heather Simpson's role at the current company?

Heather Simpson's current role is Data Science Manager at Intuit.

What is Heather Simpson's email address?

Heather Simpson's email address is hs****@****enn.edu

What is Heather Simpson's direct phone number?

Heather Simpson's direct phone number is +1 650-944*****

What schools did Heather Simpson attend?

Heather Simpson attended Uc Santa Barbara, University Of California, Santa Barbara, Bryn Mawr College.

What skills is Heather Simpson known for?

Heather Simpson has skills like Linguistics, Data Analysis, Research, Programming, Python, Teaching, Statistics, Natural Language Processing, R, Project Management, Semantics, Quantitative Research.

Who are Heather Simpson's colleagues?

Heather Simpson's colleagues are Gary Lafreniere, Misemer Frank, Bryson Menke, Ron Spencer, Danielle Stewart, Willie Alejandro, Tom Tinstman.

Not the Heather Simpson you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.