Meg Savel, Ph.D. Email and Phone Number
Meg Savel, Ph.D. work email
- Valid
- Valid
- Valid
Meg Savel, Ph.D. personal email
I am a data scientist with experience in natural language processing and machine learning. My background as an independent researcher, in addition to being a data scientist, makes me a big picture thinker that allows me to use my technical skills while keeping the broader context of a problem in mind. I am a fast learner who is passionate about learning and exploring new ways to use machine learning and grow my NLP skills.
-
Lead Scientist, Data ScienceBooz Allen HamiltonArlington, Va, Us
-
Senior Data ScientistDeloitte May 2022 - PresentWorldwide, Oo• Supervised and advised three research fellows as the team lead for a trust in government project.• Leveraged NiFi, Python, and SQL to aggregate data from multiple government entities to drive mission critical national security decisions.•Created document searching functionality using dynamic regex construction in order to build a reusable tool to handle event matches. -
Senior Data ScientistParenthetic Mar 2021 - Mar 2022Alexandria, Virginia, Us• Created text classification models using applied transfer learning techniques with pre-trained word embeddings including BERT, XLM, RoBERTa, ELMo.• Developed unsupervised and semi-supervised topic models using Correlation Explanation (CorEx), Latent Dirchlet Allocation (gensim), dynamic topic modeling (BERTopic, huggingface, transformers).• Queried Elasticsearch’s rest api to retrieve data from LexisNexis for machine learning model development.• Wrote web scraping utilities for data collection using Python and Selenium. -
Data ScientistErpi Sep 2019 - Mar 2021Fairfax, Va, Us• Developed an ETL pipeline using SQL to connect data from SQL Server and Oracle databases to load into R for predictive analytics• Used R to develop a model to identify cases where veterans continued to draw benefits after their likely death to discover misappropriations due to user error or postmortem identity theft• Created methodologies for KPIs measuring possible health care provider fraud• Developed and refactored an image recognition model in Python using a neural net to detect possible cases of trademark infringement• Collaborated with team of software developers to productionalize machine learning model for government RFP -
Doctoral Candidate, Political ScienceUniversity Of Chicago Sep 2013 - Jun 2019Chicago, Il, Us• Produced mixed methods analysis of candidate and voter behavior with respect to gender role expectations that draws heavily on using data to reinforce theoretical concepts of political behavior• Developed textual analysis program for analyzing content of candidate webpages, debate performances, and campaign advertisements for senate races in 2016 and 2018• Designed a conjoint experiment (N=3,028) to measure the effects of gender and family characteristics on vote choice as a function of candidate and voter attributes -
Research AssistantUniversity Of Chicago Aug 2015 - Mar 2019Chicago, Il, Us• Co-authored a published book chapter on the lack of a decline in trust in institutions among the American public using General Social Survey data from 1973-2016 (N=39,991) • Created and implemented an original survey experiment (N=1,000) to measure and model simultaneous attitudes about political candidates (under review at Political Science Research Methods)• Wrote Python scripts to scrape every congressional candidate’s campaign website (over 800) in the 2018 midterm election for an ongoing text analysis project
-
LecturerUniversity Of Chicago Jan 2017 - Mar 2018Chicago, Il, Us• Developed an original curriculum for an introduction to statistics course and lectured 19 undergraduate students about the fundamentals of statistics and inference in the social sciences• Designed lab sessions and problem sets in R and Stata to apply statistical concepts to real world datasets
-
FellowThe Data Incubator Apr 2019 - May 2019Phoenix, Az, Us• Completed an 8-week data science bootcamp for PhDs transitioning to data science.• Created a Flask app tracking all stocks traded on the DOW, NASDAQ, and AMEX markets using bokeh, pandas, and requests libraries in Python.• Constructed a boardgame recommender by analyzing 3.4 GB of data from BoardGameGeek’s API. The project used scikit-learn to run KNN models to identify similar, highly ranked games when provided a game title.
Meg Savel, Ph.D. Skills
Meg Savel, Ph.D. Education Details
-
University Of ChicagoPolitical Science -
University Of ChicagoPolitical Science
-
University Of MichiganPolitical Science; Women'S Studies
Frequently Asked Questions about Meg Savel, Ph.D.
What company does Meg Savel, Ph.D. work for?
Meg Savel, Ph.D. works for Booz Allen Hamilton
What is Meg Savel, Ph.D.'s role at the current company?
Meg Savel, Ph.D.'s current role is Lead Scientist, Data Science.
What is Meg Savel, Ph.D.'s email address?
Meg Savel, Ph.D.'s email address is ms****@****etic.io
What schools did Meg Savel, Ph.D. attend?
Meg Savel, Ph.D. attended University Of Chicago, University Of Chicago, University Of Michigan.
What skills is Meg Savel, Ph.D. known for?
Meg Savel, Ph.D. has skills like Python, Data Analysis, Machine Learning, Sql, Web Scraping, Apache Spark, Data Visualization, R, Econometric Modeling.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
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.
Start your free trial