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