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Data Science

Location:
Denver, CO
Salary:
100000
Posted:
August 11, 2020

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Resume:

CHRIS OYER

Data Professional

https://www.linkedin.com/in/christopher-oyer/

https://github.com/chrisoyer/

ade86a@r.postjobfree.com 330-***-**** Denver, CO 80110

I am proficient in the python data ecosystem and a lifelong learner. I have experience with data cleaning and as a data analyst, which allowed me to develop my SQL and data visualization skills. I also have a strong background in economics/finance.

SKILLS

Python: Scikit-learn, Pandas, NumPy, SciPy, Seaborn, Scrapy, NLTK, Tensorflow 2.x, GIS, StatsModels, Spark

Dev tools: Git, Github, Bash, Jupyter Notebooks/Lab, Google Colab, AWS, Docker

SQL: PostgreSQL, MS Access, MS SQL Server Other: Statistics, Data Modeling, Excel, Project Coordination

PROJECTS https://chrisoyer.github.io

Snow Depth Time Series Modeling (in progress): Scrapy, StatsModels, TensorFlow, Docker, AWS

●Modeled snow depth at multiple ski resorts over time: Regression with SARIMA errors, LSTM

●Use of time series-derived features for modeling ski season length

Sidewalk Image Classification and Segmentation: Google Street View API, Tensorflow, Python GIS

●Used GIS data validation and API requests to create unique dataset

●Deep learning U-Net model for image classification and segmentation

Predicting Dog Shelter Stay Length: regex, Scikit-learn, Pandas

●Cleaned and merged two data sets for enhanced feature engineering

●Used machine learning regression models to predict time a dog will spend a shelter

Clustering and Classifying SF Stories: NLP, Scrapy, Scikit-learn

●Web scraping; clustering and topic extraction with LDA, SVD, TF-IDF

PROFESSIONAL EXPERIENCE

Data Analyst, Exacter Inc. (3/2018–Present)

●Writing SQL & Python data cleaning pipelines and models to pick problematic electrical circuits

●Creating new data visualization dashboards for our sales team to succinctly communicate our value

Data Quality Assurance Coordinator, Ohio Housing Finance Agency (1/2016–5/2016)

●Coordinated data improvement processes across agency departments

●Reduced time needed for analyses: built a database to centralize documentation of existing data systems and creating dynamic data provenance reports

Closing Coordinator, Ohio Housing Finance Agency (5/2014 –1/2016; 5/2016 –1/2017)

●Wrote Excel macros in VBA to speed up data exchange with banks and automate financial reconciliation

●Saved agency $400k by scripted data extraction to fulfill data archiving legal requirement

Closing Analyst, Ohio Housing Finance Agency (5/2011 – 5/2014)

●Cleaned records with scripts, prepared mortgage closing documents, negotiated with banks

EDUCATION AND PROFESSIONAL DEVELOPMENT

Thinkful: Data Science Program

●Unique projects from unclean data using Python, statistical analysis, and machine learning

●Learned industry best practices by biweekly collaboration with a senior data scientist mentor

Moritz College of Law, The Ohio State University, Columbus, OH: Juris Doctor

Wheaton College, Wheaton, IL: B.A. Economics, B.A. Philosophy



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