Earlyn Reinhardt
Staff Data Scientist at WellSky
- Role
- Staff Data Scientist at WellSky
- Location
- Asheville, NC, US
- LinkedIn followers
- 500 followers
About Earlyn Reinhardt
First of all, welcome to my LinkedIn profile! I am a data scientist who is passionate about discovering patterns, building models, and answering hard questions with data. If I were to sum up in one word for why I love this field it would be innovation. The constant pioneering that is driven by curiosity and determination has brought about countless clever and novel (sometimes revolutionary) solutions. Now one problem can be solved with multiple algorithms, many of which I have used, such as good old-fashion linear regression, reliable random forests, slow but powerful gradient boosting machines, and magically cryptic neural nets. My current topics of interest are NLP, Bayesian networks, and RNNs. The main tools I use to learn about and experiment with the aforementioned models are Python, R, and various flavors of SQL. I also use Python to utilize various APIs such as Google Ads, Twitter, Azure, and NREL. When productionizing my code, I follow standard practices of software development, such as writing tightly scoped unit tests and defensive code for edge cases.
Experience
Staff Data Scientist
Sep 2023 — Present
Education
Galvanize
Data Science
2016 — 2017
The Johns Hopkins University
Master of Science - MS, Data Science
University of Notre Dame
Bachelor of Arts (B.A.), Economics
2006 — 2010
Austin Community College
Biology/Biological Sciences, General
2012 — 2013
Skills
- Advertising
- Market Research
- Social Media Marketing
- Email Marketing
- Photoshop
- Indesign
- Illustrator
- Microsoft Excel
- Mysql
- R
- Python
- Office Management
- Data Analysis
- Machine Learning
- Logistic Regression
- Linear Regression
- Bayesian Statistics
- Multivariate Statistics
- Information Graphics
- Marketing
- Social Media
- Amazon Web Services (Aws)
- Spark
- Hadoop
- Mapreduce
- E-Commerce
- Public Speaking
- Customer Service
- Management
- Postgres
- Nlp
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