Data Sales

Education

Master of Science, Business Intelligence and Analytics, 2017

Rockhurst University, Kansas City, Missouri

Bachelor of Arts and Science, German Studies, 2013

University of Missouri, Kansas City, Missouri

Study Abroad

Universität Klagenfurt, Austria, 2012

Universität Wien, Austria, 2012

Work Experience

Commerce Bank

Data Scientist II 2017 - 2018 Kansas City, MO

Create classification models that correctly classified bank transactions (ACH) with 98% accuracy.

Use Natural Language Processing libraries to inspect and transform data to classify unstructured text.

Develop end-to-end ETL processes that were incorporated into machine learning pipelines that utilized Support Vector Machines.

Lead statistically driven marketing campaigns that utilized A/B testing.

Improve efficiencies within the Fraud Department’s big data ecosystem that utilized technologies such as Spark, Hadoop, and Databricks.

Corroborate with the Fraud Department and Core Retail in improving Neural Network efficiencies that lead to cost deductions in AWS.

Collaborate with the Fraud Department implement resilience systems for Commerce Bank’s cloud infrastructure in AWS.

Develop test and control samples for multiple marketing projects that ensured that customers were not being included into other Data Scientist’s marketing campaigns.

Design and deploy in-house APIs using Python and Flask that incorporated machine learning models. This API enabled:

oMachine Learning models to be quickly deployed across departments; and

oOther data scientists to quickly share and deploy models, limiting the need for setup and installation.

Develop ARIMA forecasting models in SAS that forecasted Deposit Run-Offs for high impact clients with $100,000 dollars or more in their account.

Automate data extraction processes for reporting that used technologies such as TeraData and SAS and SQL.

Deliver blockchain presentations to the VP of Strategy that discussed where Commerce Bank could implement blockchain technology to improve efficiencies.

Evolytics

Data Engineer 2017 - 2017 Parkville, MO

Use technology such has Hadoop and Hive to create queries to validate user MFA to ensure that user’s accounts are not compromised.

Develop data pipelines for JackStack that pulled data from their database and piped it into a Tableau dashboard, which provided more accurate and close to real-time data.

Create an API written in Python using Flask to automate an internal audit process.

Train employees in how to use Python to explore, investigate and generate predictions using libraries found in Anaconda.

Automate the checking of beacons on Realtor.com using Python, Selenium, and BrowserMob Proxy to help guarantee data integrity that beacons were properly firing.

Data mine publicly available data sets using Selenium and BeautifulSoup4 to help BlueScope further analyze their market.

Help customers such as Lake Flato move away from using data cubes as a backbone to their data analysis in order to examine data on a more granular scale without having to recalculate the cube.

Summit Truck Group

Business Intelligence 2014 - 2017 Kansas City, MO

Build ETL processes and data frames using custom Python code.

Write custom software using DevExpress to track down trucks throughout the Northern Hemisphere to improve customer relations and customer retention by 15%.

Lead a machine learning initiative that used ML and artificial intelligence to predict break rates for heavy duty trucks.

Use predictive models to help customers understand their fleets and how to optimize their business.

Lead the implementation of new BI tools into daily office setting to better visualize and understand complex data.

Design and automate databases to proactively track new and existing customers in 36 locations.

Develop web crawlers in Python to track competitors and new customers coming into the market.

Use telematics technology to improve truck up time, predict breaks, and improve process efficiency.

Automate of New and Used Truck sales processes to more efficiently consign units by customer.

Mine public databases to develop customer profile sheets to push business expansion in new states.

Duracomm Corporation

Marketing Associate 2012 - 2014 Kansas City, MO

Develop solutions, procedures, and implementation methods to meet large marketing project deadlines.

Evolve SEO strategies and conduct Google keywords research.

Conduct market research of competitors’ products, upcoming models, and new advances in the LED industry.

Forecast monthly and yearly sales savings for customers switching to DuraComm’s LED lights.

Create sales reports; interpret customer trends.

Data Science Projects

Predicting Sperm Quality Using Neural Networks, Python, and Perceptron Multi-Layer

Predict whether or not a sperm donor would quality for donation using Neural Networks.

Tangible Result: Prediction accuracy 99%, a 2% increase from study

Genetic Algorithms and Fantasy Football, Scala

Apply data mining techniques to predict which mechanic performs best at certain tasks.

Predicting Optimal Job for Mechanics, R

Work with municipalities to improve snowplow routes to decrease fuel consumption and improve response time.

Tangible Result: Summit Truck Group increased efficiency in service department by 15%.

Skills

Programming: Python, R, SAS, HIVE, SQL, C++, C, Java, SQL, HMTL, and JavaScript

Machine Learning: Decision Trees, Clustering, Multivariable Regression, Support Vector Machines, Supervised and Unsupervised Learning, Random Forest, and Neural Networks

Big Data Architecture: Spark, Hadoop, DataBricks, HIVE and Vertica

BI and Visualization Software: Tableau, BIME, Microsoft BI

Databases: MongoDB, Postgres SQL, TeraData and Vertica

Operating systems: Windows, Linux, OSX, Gentoo, and OpenBSD

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