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Manufacturing Analyst at Nissan Motor Corporation

Location:
Mission Viejo, CA
Posted:
March 27, 2020

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Resume:

Jake Miranda

***** ******* ******* *****, ** ****1 615-***-**** *********@**.****.***

Profile

Experienced, business-minded data scientist seeking an opportunity to leverage my diverse skillset of predictive analytics and machine learning.

Education

Austin Peay State University August 2014 - May 2020

• Master's Degree - Computer Science Concentration - Predictive Analytics May 2020

• SGA - Graduate Senator

• Bachelor's Degree - Chemistry Minor – Preprofessional Health Cum Laude May 2018

• Organizations: XEM, PPHS, BCM, and University Recreation Experience

Nissan Manufacturing Analytics Intern July 2019 – July 2020

• Evaluate and manage predictive models and algorithms with technology companies.

• Maintain alignment between the Industrial IoT infrastructure and analytics vision.

• Determine analytical needs for the functions and lead efforts to deliver solutions.

• Research technology and raise awareness about relevant innovation trends.

• Develop and manage information sharing tools for best practices of the manufacturing functions.

• Coordinate and contribute analytics proof of concepts cross-functionally across manufacturing departments within the North American region.

APSU Graduate Teaching Assistant June 2018 – May 2019

• Supervisor of general chemistry 1 and 2 labs.

• Independently educated an average of 24 students per lab.

• Participated in ongoing professional development. Kroger Pharmacy Technician (CPhT) April 2016 - May 2018

• Extensive knowledge of medical terminology.

• Prescription data entry by computer.

• Ability to resolve insurance disputes.

Skill Highlights

• Fluent in Python, R, Tableau

• Business Intelligence (BI)

• Advanced Data Mining

• Quantitative Analytics

• Time-Series Analysis

• Artificial Intelligence

• Project Management (Scrum, Agile)

• Big Data Queries and Interpretation

• Multivariate Predictive Modeling

• Machine Learning Algorithms

• Data Warehousing

• Microsoft Office



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