Justin Jimenez Email & Phone Number

* Building machine learning models, deep learning models, and AI services in a production environment for clients across multiple industries* Constructing machine learning pipelines while incorporating best MLOps practices to monitor drift, track artifact lineage, and automate code building and deployment.* Presenting complex technical concepts to stakeholders and clients to communicate project success and ensure client satisfaction.

• Utilized the data science method to develop a classification model with the objective of identifying high-risk leads that should not be offered a line of credit.• Cleaned and visualized P2P loan data as a surrogate for LOC data to increase shareholder understanding of the target demographic and identify potential features of interest. • Provided counsel for the acquisition and utilization of relevant data and the appropriate methods and models to be used for future projects.

• 600+ hours of hands-on curriculum, 1:1 industry expert mentor, completion of 2 capstone projects. • Mastering Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

Valencia, Ca

• Programmed over 45 software configurations for control systems with integrated Statistical Process Control based on customer requirements and equipment specifications. • Developed a SQL pipeline for exporting real-time and historical sensor data to a customer’s SQL server. • Analyzed time-series manufacturing process data to optimize PID algorithm parameters in more than 30 equipment startups.

Irvine, Ca

• Analyzed warranty data on hybrid-electric models to generate more than 20 quality inspection reports. • Tested warrantied parts to analyze mechanical and/or electrical root cause of failure on more than 12 recurring issues. • Collaborated with an international engineering team by providing data and testing results to resolve issues.

Long Beach, Ca

• Supported various research and development projects at the Boeing Research and Technology Lab in Long Beach. • Conducting tests and measurements to analyze different technologies. • Used tools and machines such as mills, lathes, band-saws, etc., as well as CAD/CAM software like Siemens NX.

Master Of Science - Ms, Computer Science

Certification, Data Science

600+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering.

Bachelor'S Degree, Mechanical Engineering

Activities and Societies: Society of Automotive Engineers