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