***** * ****** ** ******* Mayes 602-***-****
Glendale, Arizona 85307 ********@***.***
Education:
Bachelor of Science Business Data Analytics
W. P. Carey School of Business
Arizona State University, Tempe, Arizona May 2019
Associate in Arts
Associate in Business with Special Requirements
Estrella Mountain Community College May 2017
Work Experience:
Data Analyst, Fender Musical Instruments Corporation Aug 2019-May 2020
●Developed reports and dashboards using Tableau Desktop
●Provided training and support to other users
●Elicit data visualization and reporting requirements from management and users other data providers to obtain the data in an automated fashion
●Managed Tableau access, user security, refreshing of Tableau extracts
IT Intern, UTi Inventory Management Solutions May 2018-May 2019
●Assist in performing hardware and software procedures
●Coordinate vendors for acquisition of equipment and software
●Take user support requests and take measures to fulfill requests
Veteran Affairs Work Study, Arizona State University September 2017-May 2019
●Front desk duties such as, answering phone calls, directing students on campus and over the phone, sending and receiving emails and answering questions to walk - in students
● Maintaining positive relationships with student support service departments, in order to facilitate services to students receiving veterans’ related educational entitlements
●Processing student benefits through ORACLE and VA Once
Activity Leader, City of Tempe Kid Zone Aug. 2017 - Feb 2018
●Plan, organize and direct a variety of recreational and educational activities for students grades K-8
●Communicated clearly and concisely with parents about their children's progress and behavior
●Filled out incident reports
●Collaborated with a team of 14 individuals to provide a stimulating and safe environment
●Attended staff meetings to become knowledgeable about staff procedures
Relevant Courses:
Data Visualization
●The design of insightful business data visualizations and dashboards through Tableau and Excel to improve business decision making. Applies advanced data visualization techniques to make sense of temporal, geospatial, topical and network business data while also making it easier to digest and utilize for business users
Programming for Data Analytics
●Manipulating, processing, cleaning and crunching data with a focus on utilizing scripting and programming tools toward business applications. Also a practical, modern introduction to extraction, transformation and loading of enterprise data for business applications.
Data Warehouse and Data Modeling
●SQL, stored procedures and data warehouse architectures; data warehouse requirements definition, design and analysis; overview of the steps in building information-enabled business models
Big Data Analytics in Business
●Applications of machine learning, data and text mining for big data, Hadoop, cloud-based solutions, fundamentals of big data programming, social media and big data, NoSQL, GIS, business case studies
Enterprise Analytics
●Model lifecycle analysis, analytics governance, aligning governance, aligning firm and analytics strategy, big data security issues, enterprise search, applied projects.
Data Mining
●Building predictive analytics; exposure to logistic regression, machine learning and decision tree methods; Understanding lift factors, ROC curves; hands-on use of mining software; business case studies
Computer Skills:
Microsoft Office (Word, Excel, PowerPoint, Access) Email, Internet, MS SQL, Tableau. Customer resource management
tools such as Salesforce, PeopleSoft (ORACLE) and VAOnce. Programming Languages: C#, Python