Spencer Muncey

About Me

I am currently a Programmer Analyst at National Instruments. My current role is part of the Global Single Instance team, which is tasked with taking two seperate database instances and merging them into one. Outside of work, my passion for working with data to find interesting trends and correlations keeps me pretty occupied. This passion was influenced and encouraged by a former boss and mentor, Keshava Rangarajan. I am happily engaged to my fiancée Sara and excited to see where my professional career takes me!

Education and Skills

Bachelors of Business Administration: Science and Technology Management degree from the McCombs School of Business at the University of Texas at Austin
Certificate: Elements of Computing from the Department of Computer Science at the University of Texas at Austin
Working knowledge of Python, R, Oracle® SQL, MySQL, RStudio®, Bootsrap, HTML, JavaScript, and CSS
Expert knowledge of all Microsoft® Office products, especially Excel

Professional Work Experience

June 2016 to Present - Programmer Analyst at National Instruments

Global Single Instance Team Member
Responsible for migrating custom code from two database instances to one global database instance
Exposure to change management, refactoring code, and implementing user enhancement requests
Developing cross-functional communication and teamwork skills

Summer 2015 - Intern at National Instruments

Conducted extensive research on database regression testing, Oracle Enterprise Manager, and Oracle SQL Performance Analyzer tool
Worked with business managers to determine database critical path processes and frequency
Created global object naming standards and execution policies for database administration team to follow when using the tool
Worked with Global Release Manager to determine how the tool would fit into the global release schedule.
Executed the tool on seven production and seven test/development databases
Communicated the results of the seven analysis reports to database administration team and business managers
Synthesized knowledge into online workflow manual
Trained members of database administration team on how to implement tool in future quarterly databases patching and upgrades

Summer 2014 - Intern at Landmark Software & Services

Data Modeling

Worked with Chief Software Architect and Customer Support manager to develop a customer support domain and dimensional model to classify surveys

Data Science

Conducted extensive research on unstructured textual analytics sentiment analysis, machine learning, deep learning, and natural language processing
Identified what dimensions a survey could have (company, time, etc.)
Sampled the data to manually assign sentiment values (satisfied, unsatisfied) to build analtyics model
Created a MySQL database with fact and dimension tables as well as performed table joins to populate visualizations

Software Solution

Developed part of several custom Java based programs to automate the data analysis
Built backend automation processes for the software
Used Deep Learning algorithms to perform topic extraction, sentiment scoring, and issue classification on two years worth of surveys (3335 surveys)
Mapped extracted topics that were client specific vernacular to Customer Support domain specific taxonomies.
Presented findings to Customer Support management team and developed solution approach to address unresolved software challenges

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