Quality Insights & Predictive Analytics
Data Experience
» Developed new general-purpose prospect modeling products for the Ultimate Data Division
» Improved performance of audience ranking between 200-300% via effective categorization
» Significantly improved production process for Social Data Categories after developing Python automation software which incorporated new predictive QC steps and overview tools
» Developed a performance validation framework with parallel processing for timely results
» Developed interactive online dashboards for executive oversight and general data sharing using Python, Tableau, and SQL Sample Dashboards Here
» Utilized natural language processing (NLP) and machine learning to generate keyphrase type-ahead system for new product site
» Developed +800 Social Data Categories utilizing many brands’ Twitter information
Business Analyst Intern
Colorado Department of Transportation
March 2016 - July 2016
» Maintained Maintenance Level of Service (MLOS) budget using SAP and Excel
» Worked with managers and stakeholders to help define business processes for continuous improvement
» Analyzed effectiveness and efficiency of processes, providing recommendations for improvement where applicable. Large projects included MLOS, Bulk Fuel, and LOS metrics
Associate Data Analyst
Information Dynamics
March 2016 - July 2016
» Analyzed data using regression analysis, stochastic analysis, and other statistical methods using Matlab and Excel with @Risk to test and validate models
» Reported errors and areas needing improvement or optimization
Click Here for additional work experience
Education
Weatherhead School of Management
Case Western Reserve University
Masters of Science in Management - Business Analytics July 2016 - May 2017
GPA: 3.818
Bachelor of Arts and Science in Mathematics
January 2011 - August 2015
GPA 3.131
Software
Adobe InDesign
Adobe Photoshop
AWS
Arena
Crimson Hexagon Google Analytics
HTML​/CSS
LaTeX
MS Excel
MS Powerpoint
MS Word
Python
R
@Risk
SPSS & Amos
SQL
Tableau
XLMiner
Publications
Stochastic Volatility Models For Black-Scholes
Author
Quest University Canada, 2016
Nominated for Distinction
Heavenly Mathematics Textbook: Solutions Manual
Contributor
Princeton Review, 2014
» Brief overview of Markov processes, Stochastic Calculus, and financial concepts
» Proved and discussed elimination of risk via Black-Scholes-Merton formula
» Discussed real-world applicability and faults with Black-Scholes
» Provided solutions to Black-Scholes volatility assumptions and simulate models
​
» Solved, edited, and wrote solutions in LaTeX for spherical trigonometry problems in Glen Van Brummelen’s Heavenly Mathematics textbook
List of Skills
Automation | Business Analytics | Data Analytics | Data Science | Deep Learning | Dimension Reduction | Excel | Machine Learning Mathematics | Management | Modeling | Neural Networks | Operations Research | Predictive Analytics | Python | Supervised Learning Unsupervised Learning | Topological Data Analysis
List of Commonly Used Packages
Beautifulsoup | Dash | ggplot | Ipython | Jupyter | Keras | Matplotlib | NLTK | NumPy | Pandas | Pattern | Plot.ly | Scikitlearn | SciPy | Seaborn | Selenium | Spyder | SQLite3 | Statsmodels | TensorFlow
Publications
Stochastic Volatility Models For Black-Scholes
Author
Quest University Canada, 2016
Nominated for Distinction
Heavenly Mathematics Textbook: Solutions Manual
Contributor
Princeton Review, 2014
» Brief overview of Markov processes, Stochastic Calculus, and financial concepts
» Proved and discussed elimination of risk via Black-Scholes-Merton formula
» Discussed real-world applicability and faults with Black-Scholes
» Provided solutions to Black-Scholes volatility assumptions and simulate models
​
» Solved, edited, and wrote solutions in LaTeX for spherical trigonometry problems in Glen Van Brummelen’s Heavenly Mathematics textbook
List of Skills
Automation | Business Analytics | Data Analytics | Data Mining | Data Science | Deep Learning | Dimension Reduction | Excel | Machine Learning Mathematics | Management | Modeling | Neural Networks | Operations Research | Predictive Analytics | Python | Supervised Learning Unsupervised Learning | Topological Data Analysis
List of Commonly Used Packages
Beautifulsoup | Dash | ggplot | Ipython | Jupyter | Keras | Matplotlib | NLTK | NumPy | Pandas | Pattern | Plot.ly | Scrapy | Scikitlearn | SciPy | Seaborn | Selenium | Spyder | SQLite3 | Statsmodels | TensorFlow