Summary
Overview
Work History
Education
Skills
Clearance
Skills Summary
Coursework
Timeline
Generic

Aime De Berner

Fort Leavenworth

Summary

Results-driven Operations Research System Analyst at the Department of Defense, adept in R and Python. Successfully developed innovative data analysis tools and dashboards, enhancing decision-making processes. Proven ability to communicate complex concepts effectively, while fostering collaboration within teams. Committed to leveraging advanced technical skills to drive impactful solutions in dynamic environments.

Overview

13
13
years of professional experience

Work History

Operations Research System Analyst

Department of Defense
Fort Leavenworth
08.2018 - Current
  • Built tools for Data Analysis for outlier and error detection using R script, R Markdowns and R Shiny.
  • Conducted research for Sr. Leadership using Python and R to provide a list of Machine Learning Buzzwords and their definitions; as a contribution for our SharePoint platform for leadership to know more about Artificial Intelligence tools, open-sourced as well as those that are commercially available.
  • Created a Help system for an in-house Wargaming application for leadership.
  • Invented a tool in Microsoft Excel to track changes in Constraints, Limitations and Assumptions (CLA) during the life-cycle of a Project studying a variety of Flying Vehicles.
  • Presented on a virtual Military Operations Research Symposium, on the process involved in producing Data Visualizations that were critical in conducting an assessment for the Joint Special Operations Command (JSOC) Intelligence Enterprise (JIE).
  • Conducted a pre and intra-Covid reassessment analysis for the SharePoint Knowledge Management use in TRAC.
  • Conceived and implemented an R Shiny tool for consolidating and sharing Professional Development resources with the TRAC workforce.
  • Developed R Flex Dashboards for Assets Managements in ITSD for quick leadership referencing.
  • Build a Power BI Dashboard to summarize Tickets received in ITSD with a dynamic feature filtering open and closed tickets, and in queue by my IT team.

GE Intern

General Electric Aviation
Manhattan
01.2017 - 05.2027
  • Consolidated and implemented a Metrics Summary Statistics for users, assigned tasks for a Task Management System.
  • The back-end and front-end php scripts were coded in a platform called Laravel framework.
  • Visualizations and were coded and designed in a script language called d3.
  • Communicated with internal customers and coded in php and POSTGRE-SQL using an Agile Development process.
  • Conducted Manual and Automated Tests Procedures using Visual Basic .NET codes for part of the Flight Management Systems – FMS subsystems.

Volunteer

Raspberry Pi / Library
02.2014 - 09.2015
  • Innovated a method of giving educational material (Khan Academy) to remote areas with limited internet access.
  • Mirrored images for Raspberry PI mini-computers used for broadcasting Khan Academy material.

Education

Master of Science - Computer Science

University of Kansas
Lawrence, KS

Skills

  • R
  • SQL
  • Python
  • C
  • PHP
  • Java
  • JavaScript
  • Visual Studio
  • Microsoft Office
  • Power BI
  • Advanced Excel
  • Linux command languages

Clearance

DOD Secret Clearance

Skills Summary

Data Scientist with 6 years of experience executing data-driven solutions for Sr. Leadership to increase proactive management, efficiency, and accuracy. Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver action-oriented solutions to simple and complex business problems., R, SQL, Python, C++, PHP, Java, JavaScript, Visual Studio, Microsoft Office, Power BI, Advanced Excel, Linux command languages

Coursework

  • Master’s Thesis Project, Compared twelve models for a Classification problem using Weka Tool.
  • Fundamentals of Expert Systems, Implemented a Rule-based Expert System for Controlling an Elevator in CLIPS.
  • Mining Special Data, Programmed in Java a probabilistic version of MLEM2 Algorithm for Rule induction.
  • Data Mining, Implemented three Global Discretization algorithms in the LERS format.
  • Machine Learning, Implemented a Likelihood Prediction model for Dropout rates in MOOC.
  • Information Retrieval, Implemented a Search Engine that operated upon the concept of TF-IDF model.
  • Computer Vision, Canny Edge and other Edge Detection techniques implemented for Dendrochronology.
  • Introduction to Bio-Informatics, Hidden Markov model for optimal Protein sequence alignment in C++.

Timeline

Operations Research System Analyst

Department of Defense
08.2018 - Current

GE Intern

General Electric Aviation
01.2017 - 05.2027

Volunteer

Raspberry Pi / Library
02.2014 - 09.2015

Master of Science - Computer Science

University of Kansas
Aime De Berner