Nora May Email & Phone Number

New York, Ny, Us

New York, New York, Us

New York, New York, Us

New York, Ny, Us

Marketing audience development for Nissan United and Omnicom new business work. Responsibilities include predictive modeling, statistical segmentation, reporting, presentations to stakeholders, cross-agency communication, and training new data scientists.

New York, Ny, Us

Metis is a 12 week immersive Data Science bootcamp covering topics in statistics, machine learning, programming, communication, and design. Designed, implemented, and presented five end-to-end projects, from data acquisition to statistical modeling and visualization:Natural Language Processing of 100 years of Musical Theater Songs- Used non-negative matrix factorization and TF-IDF vectorization to extract topics from musical theater song lyrics.- Built a Flask web app to display a new song recommendation based topic similarity to a chosen song.- Performed K-means clustering on Spotify musical data for these songs to further inform recommendations.Will a Television Series be Renewed?- Using a relational database from IMBd and data from the # television series first season, developed a classification method using random forest to predict the likelihood of a television series returning for another season.-Presented findings using Tableau.Predicting Art Auction Sales:-Scraped data such as artist, dimensions, medium, and year for pieces that were sold at auction from the Christie's auction house website using Selenium.-Used scikit-learn's linear regression tools to predict selling prices for upcoming auctions.Optimal Subway Placement for Video Game Advertisements:-Aggregated NYC MTA subway station foot traffic data in Pandas to determine which stations would the highest percentage of high school students using distance from large schools and differences in traffic on school vacation days.-Presented findings using Seaborn.

New York, Ny, Us

New York, Ny, Us

Identified and researched institutional and individual donor prospects created over 2,000 pages of research that informed solicitations that resulted in over $5 million in campaign funds for clients.Provided administrative support to the Senior Associate and Principal.Oversaw scheduling, expenses, and vendor payment for the office.Hired and supervised interns.

Selected in competitive process to be a part of the advising system for incoming Yale freshmen

Joined in the beginning stages (less than a year old) of a non-profit with the goal of discussing best practices online for raising and caring for kids in the context of race.Had weekly strategy calls to give suggestions about possible directions for the group, focusing on programming and accessible technical user interfaces.o Analyzed demographics of site users and strategized ways of attracting more and different users

Designed sandstone core flood experiments to determine the constraints of the use of nanoparticle flooding in Chemical Enhanced Oil Recovery and CO2 sequestration.Presented a poster at the SURI symposium for the UT Austin community.

Characterized the Acid/Base content and Hydroxyl content of petroleum fluids understand the composition of crude oils for Chemical Enhanced Oil Recovery. Optimized the experimental design and analyzed data to be used in publication

Worked as a cashier and prepared food for four summers at a diner style restaurant. Responsibilities included managing staff members on shift, settling the register, and communicating with managers and deliveries.