Andrew Plumb

Director of Engineering at Globality, Inc.
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 1 ratings
  • (1)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Matthew W.

I had the pleasure of reporting to Andrew during my time at Globality, and it was a relationship I won't soon forget. He is an exceptional manager, leader, software engineer, and person, and he inspired me to be a better leader every day. He is also a consistent leader, giving his teams room to grow and make mistakes, while never straying from his overall message of responsibility and accountability. His ability to motivate and lift his teams to excellence cannot be overstated.

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

Credentials

  • Bayesian Methods for Machine Learning (with Honors)
    Coursera
    Apr, 2018
    - Nov, 2024
  • Introduction to Deep Learning
    Coursera
    Feb, 2018
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 100 - 200 Employee
    • Director of Engineering
      • Sep 2022 - Present

    • Senior Software Engineering Manager
      • Jan 2022 - Sep 2022

    • Software Engineering Manager
      • Oct 2020 - Jan 2022

    • Machine Learning Engineer
      • Jun 2018 - Oct 2020

    • United States
    • Financial Services
    • 700 & Above Employee
    • Data Scientist
      • Jun 2015 - Jun 2018

      Managed team transitioning portfolio risk metric tracking away from daily individual, non-standard excel spreadsheets to a database and web application to allow for historical trend views using Python Pandas, Azure, and Plotly Dash Developed application to determine Wealth Management portfolio drift from objective model in terms of risk, return, and financial product allocation, including ETL from multiple production databases using Pentaho, as well as designing the algorithm to calculate the distance metric Managed rotational employee in constructing his first dashboard displaying user access data for a website; provided direction and feedback Implemented random forest, C5.0, and extreme gradient boosting machine learning algorithms to improve classification and regression of predicted Mutual Fund flows beyond decision tree learning, reducing RMSE by 50% Used TFIDF and affinity propagation clustering to build prototype mapping of news articles to topics, allowing investment managers to quickly and easily digest news economic trends. Prototype will be leveraged for future project algorithmically connecting investment themes to companies Headed development of a user-friendly dashboard allowing C-Suite executives to quickly explore quarterly asset flow and revenue trends for multiple business units; collected business requirements and devised technical app layout Designed prototype of a client feedback repository bringing disparate data sources together and providing client based sentiment analysis to improve client service – a first for BNY Mellon Co-led research experiment with pension fund client to develop new client facing products leveraging BNY Mellon’s internal big data analytics engine; reduced a work-intensive process from multiple hours to a few minutes Show less

    • United States
    • Medical Device
    • 700 & Above Employee
    • Engineering Physicist
      • Sep 2012 - May 2015

      Direct liaison to Chinese Food and Drug Administration for Radiation and Physics for successful new product audit, allowing product to be sold in China Individually selected for research and development project working in Belgium, Germany, and Switzerland with doctors, medical physicists, and Varian’s Switzerland team Developed Python program to analyze exposed radiochromic films to determine electron accelerator beam spot size, allowing for early diagnosis of critical accelerator failures Applied large-scale statistics in the use of Statistical Process Control to monitor changes in beam steering currents to predict changes in beam symmetry; created Python program to monitor currents Initiated and lead effort in researching use of silicon strip detectors to monitor radiation beam Designed new, lower profile, stronger magnetic steering coils for electron beam collimation with a cost savings of over $1000 per unit Show less

    • Assistant Researcher
      • 2009 - Jun 2012

      Worked under NIH grant to develop proton CT and radiograph hardware, software, and methodology to improve efficacy of proton beam radiation therapy Worked under NIH grant to develop proton CT and radiograph hardware, software, and methodology to improve efficacy of proton beam radiation therapy

    • United States
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Engineering Intern
      • 2010 - 2010

      Developed, tested, and debugged hardware and software for activity and motion tracking technologies, including Nike+GPS, Jawbone UP, and MotionX Sleep Developed, tested, and debugged hardware and software for activity and motion tracking technologies, including Nike+GPS, Jawbone UP, and MotionX Sleep

Education

  • University of California, Santa Cruz
    BS, Applied Physics
    2008 - 2012
  • University of California, Berkeley
    2007 - 2008
  • Stanford University
    2013 -
  • Coursera
    2014 - 2016
  • Georgiana Bruce Kirby

Community

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