Past Projects

Determining Country of Origin in R and KNIME

Data Mining assignment using a random forest and logistic regression to predict World Value Survey respondent country of origin in R and Knime.

Relevant Skills


R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

SQL Server Management Studio

SSMS is a Microsoft software application that is used for configuring, managing, and administering all components within Microsoft SQL Server.


Python is an open-source interpreted programming language with general-purpose and high-level application. Python's design philosophy emphasizes code readability for all project scales.

SAS Enterprise Guide

SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence and predictive analytics.


Tableau is an interactive data visualization software focused on business intelligence.


KNIME is an open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept.

Work from home

March 11, 2020 my University announced classes would resume online after spring-break to help mitigate the spread of Coronavirus. The first few weeks were clumsy but working from home proved to be effective and enjoyable. Most recently I have been working remotely as an Associate Data Analyst with Sentry Insurance for my capstone.


Throughout my professional and personal experiences, I have learned that actively listening is the most important aspect of communication. If you are just waiting for your turn to talk that is not communicating. This allows you to understand what the situation and needs are. Only after this can you start working on the problem. With working remotely, we miss out on all the nonverbal communication we are used to experiencing, this requires being extra vigilant on written and oral communication to be an effective communicator.


The reason I decided to pursue Data Analytics is that I am a lifetime learner. When faced with a new situation or opportunity the first area I dive into is accumulating information. This allows me to investigate and analyze the opportunity effectively. Ultimately this leads to me being able to act on the opportunity and communicate my findings to others.

Critical Thinking

To effectively understand the opportunity I am researching my critical thinking skills always come into play. Since we all have biases and assumptions it is essential to stay objective. Observation. Analysis. Inference. Communication. Problem Solving.