Ed Mwanza

Tech. Lead Data Scientist at Boeing Intelligence & Analytics
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Contact Information
us****@****om
(386) 825-5501
Location
Hazelwood, Missouri, United States, US

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Credentials

  • Self-Driving Car Engineer
    Udacity
    Sep, 2021
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Feb, 2018
    - Nov, 2024
  • Sequence Models
    Coursera
    Feb, 2018
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Nov, 2017
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Sep, 2017
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Sep, 2017
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Sep, 2017
    - Nov, 2024

Experience

    • United States
    • Defense and Space Manufacturing
    • 300 - 400 Employee
    • Tech. Lead Data Scientist
      • Mar 2018 - Present

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Senior Data Scientist
      • Feb 2018 - Mar 2018

    • United States
    • Rail Transportation
    • 700 & Above Employee
    • Lead Data Scientist
      • Jan 2017 - Jan 2018

    • United States
    • Farming
    • 700 & Above Employee
    • Data Scientist
      • Apr 2016 - Aug 2016

      • Worked on a diverse, cross discipline team to build a precision product placement model • Designed and developed business-ready dashboards/visualizations using R, Python, Spotfire and Pipeline Pilot. • Converted ideas and business needs into data requirements to support R&D analytics efforts. • Wrote queries using SQL (PL/SQL) to extract and manipulate data to achieve desired results using select statements, sub-queries, joining multiple tables, scripting. • Performed descriptive and predictive data analytics using R or Python and Spotfire. • Designed predictive models for enterprise day-to-day applications using machine learning techniques. • Retrieved external open-source data using APIs, R/Python or pilotscript when needed. • Involved in data migration efforts from Oracle database to the Cloud (AWS) • Performed data integration and automation using Jenkins, Github and Spotfire. • Automated data pulling jobs to get live data for real-time KPI metrics. • Collaborated with other teams in the data pipeline to achieve desired goals. • Managed and maintained field observations dashboards capturing pre-plant through harvest metrics such as irrigation-methods utilized, tillage-type, nitrogen application type, nitrogen application time, field/plot dimensions, crop density, soil types etc., up-to and including harvest to characterize a field and gain insight on the impact of various environmental and field management factors. Show less

    • United States
    • Oil and Gas
    • 700 & Above Employee
    • Data Science/Data Engineer/Performance Group
      • Jun 2012 - Oct 2015

      • Performed predictive data analytics using machine learning techniques to optimize operations for offshore deep water and onshore shale drilling. • Conducted research using quantitative methods to model drill string failure due to down-hole vibrations. • Contributed and reported initiatives using data discoveries to support enterprise engineering community achieve value based objectives. • Performed data discoveries to extract patterns and trends and developed business use cases using tools such as R, Spotfire and/Tableau, SQL that provided insights in decision making. • Queried & analyzed huge volumes of complex operations data to drive key performance metrics that drove actionable insights. • Directly involved in ETL projects for enterprise data. • Member of the operational excellence team driving performance efforts. • Created and maintained quarterly and annual performance metrics for three (3) Business Units using Spotfire or Tableau • Performed quarterly data quality scoring for optimal business units’ performance evaluation across the enterprise . • Assisted reviewing corporate operational Standards of Procedures (SOPs). • Database administrator for Rushmore drilling and completions for unconventional resources. • Validated deliverables per project and/or contract requirements. • Team contributor to enterprise reservoir assets management team. Show less

Education

  • Missouri University of Science and Technology
    Doctor of Philosophy - PhD student, Computer Vision & Machine Learning
    2020 - 2025
  • Missouri University of Science and Technology
    Master’s Degree, Computer Science
    2016 - 2017
  • Missouri University of Science and Technology
    Bachelor’s Degree, Petroleum Engineering
    2008 - 2012

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