Mia Iseman
(512) 608-3295 · mia.iseman@gmail.com · www.miaiseman.wixsite.com/miaiseman
Data scientist with a rare skill set: I can build complex technical models and clearly explain the results to any audience. With an academic background in theoretical math and professional experience in education and tech, I’m both a strong leader and individual contributor. My hobbies include improv comedy, puzzle competitions, creating escape rooms, and Ultimate Frisbee.
TECHNICAL SKILLS
Data Prep + Modeling: Python · Pandas · Scikit-learn · NumPy · Gensim · NLTK · Vader · Keras · Statsmodels · OOP · Tensorflow · Spark
Data Storage + Control: Github · Git · AWS S3 · SQL · MongoDB · APIs
Data Visualization: Matplotlib · Plot.ly · Seaborn · Tableau
Deployment: Flask · HTML/CSS · AWS EC2
Other: Linux Bash Shell · Camtasia · Absorb LMS · Clarizen · Smartsheet · Salesforce
TECHNICAL PROJECTS
Convergence Bot
A fun word game where a bot predicts what you will say next
Researched and acquired 6 billion word corpus and 400,000 vectorized words to represent a human vocabulary
Mapped 10,000 common words to corresponding vectors to represent a daily human vocabulary
Created an algorithm that averages the vectors and outputs the closest word vector using cosine similarity
Built and deployed a Flask webapp at www.playconvergence.com
Overdose Classification
U.S. counties at risk of having a high overdose fatality rate based on county education and internet connectivity
Used CenPy to acquire U.S. Census Bureau data and joined it with Center for Disease Control Data acquired through their Wonder tool to engineer the target and feature variables
Built a logistic regression model and used GridSearch to optimize a Random Forest model to predict overdoses
Evaluated the models using Area Under the Curve and suggested optimal thresholds to guide stakeholder decisions
A Song of Vice and Higher
A characterization of presidential nominees through Game of Thrones
Accessed the Reddit API to archive thousands of comments about Game of Thrones and politics
Applied a CountVectorizer to attribute comments to nominees or characters
Engineered features using Gensim and clustered using unsupervised learning to map characters to nominees
Scored using cosine similarity to map characters to nominees to make a more compelling model
PROFESSIONAL EXPERIENCE
uStudio · Austin, Texas · Implementation Consultant · Jul 2018 – Apr 2019
Served as primary Project Manager on three phases of project metrics and milestones for the client’s new intranet website
Designed user stories and user acceptance tests and notified team of red flags to increase sprint efficiencies
Communicated with all stakeholders despite differing goals, companies, departments, and systems
Spredfast · Austin, Texas · Team Lead + Senior Instructional Trainer · Aug 2014 – Apr 2018
Served as platform expert for all products, and created and managed customer-facing documentation and certification videos
Designed and facilitated hundreds of onsite and remote trainings, and performed some trainings in Spanish
Managed five direct reports with varying skill sets through onboarding, goal-setting, performance plans, and promotions.
Revamped community outreach program and won a city-wide competition twice in three years, earning over $30,000 for charity
Earned the 2018 Red Pants Award given to employees for excellence in work performance
KIPP Austin Collegiate High School · Austin, Texas · Course Leader + Teacher · Jul 2011 – Jun 2014
Developed curriculum, scope and sequence, unit plans, and lessons for Geometry as well as the district’s first AP Calculus course
Supported economically disadvantaged students academically, socially, and emotionally, leading to a 95.3% passing rate on the 2013 STAAR End of Course Geometry test, compared to the 86.2% state average
EDUCATION
Flatiron School · Seattle, WA · Data Science 15-Week Immersive Bootcamp · Jul 2019
New York University · New York City, NY · Bachelor of Arts in Mathematics and Spanish · May 2007 Magna Cum Laude · President’s Service Award · Top-10 National Athletic Award
To contact this candidate email mia.iseman@gmail.com