Machine Learning Data Science

Professional Experience

Leo Burnett Chicago, IL

Manager, Data Science Mar. 2019 – Present

Streamline data processes with RDD’s in Azure Databricks on Apache Spark

Implemented machine learning models with SparklyR, PySpark, Java, and Scala

Work in cross functional teams to achieve stakeholder goals

Coach junior level employees

Forecast all aspects of promotions utilizing time series and machine learning techniques

Applied numerous types of modeling techniques, including, but not limited to, linear, nonlinear, tree-based, supervised, unsupervised, segmentation, shrinkage, and ensemble

Perform A/B testing along with predictive modeling to increase engagement through personalized communications

Build strong relationships with clients through weekly engagements

Leo Burnett Chicago, IL

Senior Analyst, Optimization Jun. 2018 – Mar. 2019

Optimize marketing strategies through analytics and data science

Develop customer segmentation models for marketing campaigns

Reduce cost, and increase consumer engagement through predictive models to personalize the consumer experience

Write code and create programs to extract, transform, and derive insights from social media, minimizing costs and reliance on outside vendors

BetCRIS San Jose, Costa Rica

Independent Consultant Jun. 2017 – Jan. 2018

Built, monitored and communicated results of operational risk models in production to all levels of the organization, from the CEO to junior employees

Coordinated the collection of data from internal and external sources, researched and resolved inconsistencies

Organized workflow and documentation in a scrum agile environment using Jira

Utilized modern machine learning techniques for classification and regression models using R

Calculated accurate probabilities for derivative trading

Scraped websites to obtain relevant data points for modeling work

Two Birdees Los Angeles, California

Data Science Consultant July 2016 – June 2017

Built statistical models to determine high-value customers

Communicated concepts to team members and senior stakeholders with Tableau visuals

Gathered business requirements by interviewing stakeholders, created and implemented technological solutions

Utilized Python to scrape HTML and XML to analyze social networks

Conducted data analysis using SQL

Professional Experience Continued

DSC Logistics Des Plaines, IL

Senior Intelligence Analyst Jan. 2015 – Sept. 2016

Led analytical initiatives across business units in an agile scrum environment to reduce reporting time by 95%

Built strategic relationships internally and externally, including Fortune 500 customers

Managed completion of user stories and epics in Trello resulting in projects finishing ahead of schedule

Created entity relationship diagrams and data flows to integrate disparate data sources

Improved DSC’s use of key performance indicators resulting in accuracy gains of 10% by applying sampling techniques

Financial Analyst Apr. 2014 – Dec 2014

Prepared analysis of operating results and presented action driven solutions to senior management to solve variances for $90 MM transportation budget

Repriced and divested negative fleet operation resulting in +$200K margin year over year

Transportation Intelligence Analyst Aug. 2012– Apr. 2014

Forecasted demand for optimal resource planning resulting in margin increases of 16%

Initiated and presented strategic business plan to standardize reporting

Basewinner Phoenix, AZ

Independent Consultant Dec. 2012 – Aug. 2013

Collected, mined, and analyzed NBA statistics to enhance and develop predictive models

Tested and validated models utilizing statistical methods such as standard deviation, z-score, and Brier scores

Advised owner on prospective models and business strategy

Presented patterns embedded in historical data while communicating the need for testing, and the dangers of overfitting

Correctly identified false positives occurring in small sample sizes

Tranzact Technologies Elmhurst, IL

Transportation Audit Analyst Dec. 2010 – Aug. 2012

Analyzed large datasets to identify patterns to resolve freight billing issues

Education

Northwestern University Chicago, IL

Master of Science, Predictive Analytics Graduation Date: December 2016

GPA: 3.86/4.00

University of Illinois at Chicago Chicago, IL

Bachelor of Science, Finance Graduation Date: December 2010

GPA: 3.53/4.00

Honors: Graduated with institutional honors and departmental distinction in finance

Activities: Financial Management Association

Skills

Proficient with R and Spark, working knowledge of Python, Java, Scala

Excellent understanding of machine learning and statistical modeling techniques

Advanced excel user comfortable with VBA

Experience with manipulating large datasets utilizing SQL

Comfortable with Jira issue management

Good communication skills with an ability to interact with employees of all levels

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