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Data Analyst

Location:
Post Falls, ID, 83854
Posted:
March 07, 2022

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Resume:

ADAM MAAS

*** * ********* ****, **** Falls, ID, *3854 360-***-**** **.*.****@*****.***

PROFESSIONAL OVERVIEW

A diligent, resourceful, and results-driven professional with background in Mathematics, data analysis, and customer service; strong technical, organizational, and problem-solving skills with the competence to support day-to-day operations with the use of systems and technology; self-starter and dependable team player who possesses first-rate interpersonal skills, detail orientation, and sensitivity to client needs; and support the organization in improving strategic decisions using valuable and actionable data.

SKILLS & COMPETENCIES

Professional:

Attention to detail; Critical Thinking; Analytical Thinking; Customer Service; Data Analysis; Flexibility; Problem Solving; Teamwork

Technical:

MATLAB; Python; R; C; C#; Latex; CSS; Microsoft Azure; Tableau; SQL; HTML

Software: Microsoft Office (Word, Excel, PowerPoint) Extracurricular: Guest Teacher; Ski Instructor; Theta Chi EDUCATIONAL BACKGROUND

Springboard Data Science Track, January 2021

Machine Learning, Deep Learning, data processing, python, API's Bachelors of Science. in Mathematics, May 2017

Washington State University, Pullman, WA

Math Subjects: Probability; Statistics; Data Analytics; Optimization; Time Series Analysis; Simulation Methods; Scientific Computing

Computer Subjects: HTML; C; C# Python; Matlab; R; latex; databases; file systems Associate’s in Arts and Science, June 2014

Ocean Research College Academy (ORCA), Everett, WA Related Coursework: Data collection; Research & Analysis; Excel projects PROFESSIONAL EXPERIENCE

Data Analyst November 2020 - Present

Pactera Edge Home

● Managing master data, including creation, updates, and deletion.

● Provide quality assurance of imported data, working with quality assurance analysts if necessary.

● Processing confidential data and information according to guidelines.

● Supporting initiatives for data integrity and normalization.

● Provide analysis on data processes



Contact this candidate