Jennifer Brown Email & Phone Number

Chicago, IL, US

Evanston, Illinois, United States

Tech Lab web development team member building websites for local non-profits.

Full Time Student

• Scraped 1.1 million tweets from members of the 116th Congresses to create a dataset containing tweets, twitter handle (username), political affiliation, and state of representation.
• Cleaned and transformed data into a corpus of documents in preparation for unsupervised machine learning modeling using feature engineering, natural language processing, spaCy, CVEC, and TF-IDF.
• Identified unique clusters of Senators and Representatives based on tweet text and described the demographics of these clusters.
• Final model used a K-Means clustering algorithm, scaled data with t-SNE and PCA dimensionality reductions, and CVEC word vectorization.

• Created an unstructured dataset by scraping 40,000 submissions posted by users in the Body Weight Fitness (bodyweightfitness) and the Weightlifting subreddits.
• Transformed data in preparation for modeling using feature engineering and natural language processing
• Identified topics associated with Body Weight Fitness and Weightlifting using a logistic regression classifier
• Achieved an accuracy score of 0.88

• Examined SAT score data for states / territories with compulsory requirements to determine what, if any, differences exist
• Descriptive statistics indicate that some states have higher average scores for both years and some states are consistently lower scores

• Created a dataset of open and closed eyes using Kaggle images and ‘Faces In The Wild’ images
• Created and refined a Convolutional Neural Network using grid searching to achieve a PR AUC score of 0.9814
• Applied model to image capture using computer vision to identify and sound an alarm when eyes are closed for more than 1.5 seconds

• Explored a Kaggle dataset of home sales from 2006 to 2010 provided by the Ames’s Assessor’s office
• Used data visualization and feature engineering techniques to analyze and manipulate data into a format usable for modeling
• Evaluated a number of models using multiple linear regression and LASSO or Ridge regularization and K-Nearest-Neighbors
• Developed a model that was able to predict housing prices with an R2 score of 0.922

• Development of data visualizations using modern technologies (D3.js, Tableau); Data acquisition, cleaning, analysis, and presentation.
• Creation of dynamic front-ends to applications using modern frameworks used to create single-page apps; front-end stylings actualized using HTML, CSS, and SASS; consumption of third-party web APIs, writing and.

Chicago, Illinois

• HTML, CSS, and JavaScript
• Back-end web application and APIs using modern programming languages and MVC web development frameworks (Rails)
• Development of dynamic front-ends to applications using modern frameworks used to create single-page apps (Angular)
• Consume web APIs from third-party sites
• Writing secure applications and deploying them to cloud services like Heroku
• Collaborating within a team using an agile development workflow and widely-accepted collaboration practices using Git

Chicago, Illinois

• Data management using SAS; data modeling, analysis, interpretation, and presentation; data cleaning, and coding
• A/B testing and experiments
• Questionnaire development and implementation
• Project systems improvement using data analysis
• Database development and maintenance
• Grant and proposal content composition

Chicago, Illinois

• Data management using SAS; data modeling, analysis, interpretation, and presentation; data cleaning, and coding
• A/B testing and experiments
• Questionnaire development and implementation
• Project systems improvement using data analysis
• Database development and maintenance
• Grant and proposal content composition

Chicago, Illinois

• Project management
• Data management using SAS; data modeling, analysis, interpretation, and presentation; data cleaning, and coding
• Questionnaire development and implementation
• Project systems improvement using data analysis
• Database development and maintenance
• Grant and proposal content composition

Chicago, Illinois

• Data modeling, analysis, interpretation, and presentation
• Data entry, cleaning, and coding
• Questionnaire development and implementation
• Project systems improvement using data analysis
• Database development and maintenance
• Grant and proposal content composition

Bowling Green, Ohio

• Analyzed quantitative and qualitative data
• Prepared reports and presentations
• Secured grants
• Entered and maintained data; archived interview records and materials; transcribed interviews
• Course Instructor for two semesters [coursework development; maintained notes and records, tutored students; and graded student assignments and coursework]

Data Science

Full Stack Web Development

Certificate, Applied Statistics

Doctor Of Philosophy (Phd) - Abd, Sociology

Activities and Societies: Graduate Student Senate [Senator]; Honors and Awards Committee [Chair]; Academic Honesty Committee [Member]

Master Of Arts (Ma), Sociology

Activities and Societies: Graduate Student Senate [Senator]; Honors and Awards Committee [Chair]; Academic Honesty Committee [Member]

Bachelor Of Science (B.S.), Sociology And Psychology

Activities and Societies: Psi Chi; University Honors Program

Stand-Alone Class: Data Exploration And Storytelling

Stand-alone class: Data Exploration and Storytelling