Lorenzo (Enzo) Jaques

Data Scientist at Utility, Inc.
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Languages
  • Spanish Elementary proficiency
  • English Native or bilingual proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 2 ratings
  • (2)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Nathan Faucett

Lorenzo is a brilliant data scientist, his expertise in AI and Natural Language Processing allow him to tackle challenging problems and deliver innovative solutions. His strong analytical skills and attention to detail make him a valuable asset to any team. Aside from his impressive technical skills, Lorenzo is an excellent team player. He has a great attitude and a friendly personality, making him a joy to work with. He communicates his ideas effectively, and he always takes the time to listen to his colleagues' opinions. His positive attitude and professionalism make him a natural leader, and he is always willing to go above and beyond to ensure the success of any project. Overall, I have no doubt that Lorenzo will excel in any role he takes on. He is a highly skilled data scientist with a fantastic attitude, making him an asset to any team. I highly recommend him for any position in the field of Data Science, Machine Learning, Artificial Intelligence, or Computer Vision.

Rachael Chandler

I worked with Enzo on a Machine Learning project that was based on processing engineering requirements. When I first joined in on the project, he gave me an overview of the objective, status and next steps which made onboarding very seamless. Through the project he was engaged, organized and a great leader who kept the whole team moving forward. He represented the team during meetings to our leads, and to other stakeholders that were interested in the solutions being developed. Enzo was responsible for conducting an immense amount of research on ML processes to find the best fit for the data we were working with, and developed much of the code in an efficient and user friendly environment. Enzo’s leadership and extensive ML background is much of the reason why the final program was so successful - he has been great to work with in every aspect and I highly recommend him for future leadership opportunities!

You need to have a working account to view this content.
You need to have a working account to view this content.

Credentials

  • Microsoft Office Specialist Excel 2016
    Microsoft
    Nov, 2017
    - Nov, 2024

Experience

    • United States
    • IT Services and IT Consulting
    • 200 - 300 Employee
    • Data Scientist
      • Nov 2022 - Present

      I analyze data collected from connected devices used by first responders nationwide. I organize unstructured data from mobile and in-car devices, which capture video, audio, digital inputs, GPS, and various sensor data. I use a variety of data mining clustering, prediction, and classifications for object detection, instance segmentation, and object classification, leveraging my data analysis skillset to build, simulate, and implement machine learning models. Model deployment is in AWS leveraging SageMaker due to most of the workload on the cloud infrastructure paired with edge computing practices for time-sensitive data. • Implemented an instance segmentation and color classification machine learning model from concept to deployment in a 3-month timeline

    • United States
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Systems Engineer II (Machine Learning NLP)
      • Oct 2021 - Nov 2022

      I led a team in implementing advanced Natural Language Processing (NLP) machine learning algorithms deployed in python programming language with PyTorch and TensorFlow frameworks from concept to deliverable while utilizing Model Based System Engineering (MBSE) tools. The NLP program would read engineering requirements documents, ranging from several dozen to several hundred pages, highlighting ambiguity areas. • On average, the algorithm would successfully process 200 pages per 10 minutes which would take an engineering subject matter expert several hours to pinpoint ambiguous areas.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research And Teaching Assistant
      • Jan 2020 - Aug 2021

      Implemented, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets. Applied state of the art and novel techniques such as supervised and unsupervised learning, machine learning, and deep learning to problems such as classification, anomaly detection, and forecasting. Developed cutting edge systems and worked collaboratively with software engineers to design and deploy models into production with interacting with department heads.Responsible for designing, building, and maintaining software infrastructure that supported a variety of analytics. Interacted with real data sources and deployed capabilities that operated at scale for applications such as data ingestion, ETL processes, machine learning, and other advanced analytics.Worked with state-of-the-art models and cutting-edge research, as well as with parallel and concurrent algorithms. Worked closely with our technical engineering student team, bringing deep learning product requirements and putting machine learning research into practice within our software. I contributed to solving challenging technical problems at the forefront of machine learning,• Graduate research consisted of deciphering large datasets by leveraging convolutional neural networks, vision transformers, and recurrent neural networks with applications in computer vision involved with robotics and automation• Seven research projects were published at international conferences in 18 monthsCourses TA:Capstone Senior Design Project I - Fall 2020Capstone Senior Design Project II - Fall 2020Modern Communication System Design - Fall 2020

    • Undergraduate Teaching Assistant
      • Aug 2019 - Jan 2020

      Modern Communication System Design - Fall 2019Digital Logic Design - Fall 2019

    • United States
    • Financial Services
    • 700 & Above Employee
    • Personal Banker
      • Dec 2013 - Feb 2019

      Provide personal financial counseling, assist with lending services, and build relationships with existing customers to sustain high satisfaction ratings and retention. Provide personal financial counseling, assist with lending services, and build relationships with existing customers to sustain high satisfaction ratings and retention.

    • Retail
    • 700 & Above Employee
    • Mobile Lead/Supervisor
      • Jun 2012 - Dec 2013

      I analyzed business performance and implemented continuous process optimizations to promote overall business revenue growth and work efficiency/profitability - Transformed continuous improvement systems by developing and deploying business models to monitor work/revenue performance

    • Mobile Consultant
      • Sep 2011 - Jun 2012

    • Magnolia Home Theater Sales Associate
      • Aug 2010 - Aug 2011

    • Portable Electronics Specialist
      • Jul 2009 - Jul 2010

    • United States
    • Non-profit Organizations
    • 700 & Above Employee
    • Daycare Instructor
      • Jul 2007 - Jul 2009

      I supported our youth by running the Daycare Center afterschool program, provided front desk support, and delivered resources to our sister camps for Youth Summer Programs. I supported our youth by running the Daycare Center afterschool program, provided front desk support, and delivered resources to our sister camps for Youth Summer Programs.

Education

  • University of North Texas
    Master of Science - MS, Electrical Engineering
    2019 - 2021
  • University of North Texas
    Bachelor of Science - BS, Electrical Engineering
    2017 - 2019
  • Dallas College
    Associate of Science (A.S.), Mathematics and Computer Science
    2009 - 2012

Community

You need to have a working account to view this content. Click here to join now