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Data Analytics Machine Learning

Location:
Seattle, WA
Salary:
95000
Posted:
February 22, 2024

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Resume:

Leslie Wright

Location: Seattle, WA Phone: 206-***-**** Email: ad3ueo@r.postjobfree.com

Professional Summary:

• Local United States Airforce Veteran with a recent master's in data Analytics form Northeastern University.

• Identified fast moving items by building machine learning models in python to translate business ideas, analytical solutions and visual results based on the data (Forecasting based on weekly averages, product id and values).

• Used R programming to create predictive models such Logistic Regression, Random Forrest, Decisions Trees, Naïve Bayes to find the best performing model to make recommendations.

• Utilized PySpark and Spark SQL as visualization tools (interactive maps) to help interpret the data clearly.

Education:

Northeastern University, College of Professional Studies, Seattle, WA April 2022 Master of Data Analytics (GPA: 3.57)

• Relevant Coursework: Introduction to Data Analytics, Statistics, Excel. University of Washington, Tacoma, WA August 2020

Bachelor of Arts in Business Administration B.A.B.A.

• Relevant Coursework: Statistics, Introduction to R Programming Seattle Central College December 2019

Business Administration (Dean’s List Student)

IT Skills & Computer Expertise:

• Demonstrated the ability to manage large databases using analytical tools.

• Experience with PySpark, R Programming, SQL, Microsoft Excel, Tableau, Data Warehousing, Data Visualization, and Predictive Modeling.

Certification:

• Safe Agile Certification

Projects:

Capstone Project through Northeastern University working in collaboration with AwanTunai a supply chain financial service company.

• The goal of this project is to gain insights using methodologies, data pre-processing, cleaning, and transforming the algorithms into a pattern discovery to be reused for analysis of similar data.

• The data collected and shared with AwanTunai will assist merchants growing their businesses.

• PySpark and Spark SQL are the tools that were used to identify clusters and fast/slow-moving items to forecast items that should be purchased in bulk.

• PySpark and Spark SQL were also used as visualization tools (interactive maps) to help interpret the data clearly.

• The specific role that I played was to Identify fast moving items by building machine learning models in python to translate business ideas, analytical solutions and visual results based on the data (Forecasting based on weekly averages, product id and values). XN Project through Northeastern University collaborated with Silverdale Technology, a local consulting company to convert unstructured data to structured data using predictive modeling.

• Used R programming to create predictive models such Logistic Regression, Random Forrest, Decisions Trees, Naïve Bayes to find the best performing model to make recommendations. Volunteer & Community Support:

University of Washington

Math Tutor

• Tutored students to bring their math requirements up to college level in preparation for G.E.D. testing.

• Organized and collaborated with team members to solicit surrounding businesses for donations to the local food bank, project raised over 1000lbs of food. Professional Experience:

Sogeti/Capgemini October 2023- present

Quality Engineer AR/VR

• Flash device daily with new software to conduct testing.

• Utilize ADO to create test suites to perform tests to pass/fail test cases and annotate bug reports and or run queries if it is a duplicate bug.

• Generate daily excel status report for progress of test cases. Tech Mahindra June 2022 – July 2023

Test Engineer

• Evaluated and documented actual test results against expected results using ITMS, Jira & team share point.

• Used different tools to execute test cases and collect logs such as ADB Command, QXDM5, MTK Logger.

• Performed Software/firmware testing of Android devices from various OEMs.

• Supported automation testing team by maintaining test environment, troubleshooting, capturing logs and bug reports.

• Coordinated directly with clients to resolve issues and ensure project success.

• Used R&S Simulator CMW500 to perform and manage lab Test Case. Military Experience:

United States Air Force (USAF)

Sergeant

• Directed Airmen on shift and held Secret security clearance.

• Responsible for the protection of Government resources.



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