Overview
Work History
Education
Skills
Affiliations
Certification
Timeline
Generic

Daniel Resendez

Fort Worth,TX

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Scientist II

Boeing Distribution, Inc
07.2022 - Current
  • Led a project to analyze historical demand and improve forecast accuracy, creating an ARIMA model for time series analysis utilazing R, and Python, which resulted in a significant increase in forecast accuracy, revenue, and customer satisfaction.
  • Successfully executed a project aimed at reducing chemical waste at multiple branch sites by analyzing root causes and offering effective suggestions. This initiative resulted in noteworthy cost savings associated with the reduced waste.
  • Developed and delivered ad hoc reports and KPI analyses using Oracle SQL, enabling executive leadership to make informed strategic decisions through clear and concise data presentation.
  • Developed a Spotfire dashboard to visualize and monitor integration issues between SAP and SPM systems, identifying a critical issue that omitted nearly $20 million in sales orders, leading to prompt resolution and ongoing data integrity through daily monitoring.

Industrial Engineer II & III

The Boeing Company
08.2020 - 06.2022
  • As the leader of the IE team, I spearheaded the development of guidelines and procedures to enhance standards and performance
  • Additionally, I played a key role in establishing a robust documentation system to ensure accurate and timely updates, as well as the preservation of historical data
  • I also took charge of generating daily metrics, including tracking Earned Value Management (EVM), to effectively communicate the aircraft's overall health to both internal and external stakeholders
  • To facilitate data analysis for specific projects, I utilized Toad for Oracle and coded in SQL language to develop queries
  • I conducted an in-depth analysis of historical data and utilized the findings to generate an estimated maintenance period duration. This information was then presented to the customer in a comprehensive proposal for the next aircraft input.

Industrial Engineer I

The Boeing Company
09.2018 - 08.2020
  • I seamlessly integrated into a three-person team assigned with the responsibility of investigating, recommending, planning, and implementing optimization and schedule relief processes for the ETS&S Fleet
  • Additionally, I played a significant role in onboarding and training new Industrial Engineering graduates, ensuring their smooth integration into our team
  • To enhance MRO efficiency, minimize non-value-added time, and reduce costs, I developed precise and comprehensive measurement standards that were implemented across operations
  • I diligently monitored and analyzed workflow, processes, and procedures, proactively identifying, and resolving bottlenecks to maximize overall efficiency
  • I contributed to the creation of cost and schedule risk analyses, which were instrumental in supporting customer proposals and driving cost reduction initiatives.

Education

Master of Science - Data Analytics

The University of Texas At San Antonio
San Antonio, Texas
12-2023

Bachelor of Science - Industrial Engineering

Texas State University
San Marcos, Texas
05-2018

Skills

  • Python
  • SQL Oracle
  • SAS
  • R
  • Toad
  • Spotfire
  • SPM
  • Tableau
  • SAP
  • Gretl
  • Viso
  • Aurora
  • Excel
  • Power Point
  • Word

Affiliations

  • Successfully led a team of five members in the development of a Python-based machine learning model. The model was designed to analyze a dataset of tweets and accurately classify them as targeted & offensive, not targeted & offensive, or not offensive. This project was completed in Spring 2022.
  • Actively collaborated as a member of a two-person team to utilize SAS EG for creating various tables and queries. The objective was to analyze the Current Population Survey and effectively present the gender wage gap. This project was undertaken in Spring 2022.
  • Actively participated in a team of five members to create a comprehensive dashboard using Tableau. The dashboard aimed to visually illustrate the changes in the housing market over time by analyzing factors such as material costs, mortgage rates, labor, and demand. This project was completed in Fall 2021.

Certification

  • IISE - Six Sigma Green Belt Certification
  • IISE - Lean Manufacturing Certification

Timeline

Data Scientist II

Boeing Distribution, Inc
07.2022 - Current

Industrial Engineer II & III

The Boeing Company
08.2020 - 06.2022

Industrial Engineer I

The Boeing Company
09.2018 - 08.2020

Master of Science - Data Analytics

The University of Texas At San Antonio

Bachelor of Science - Industrial Engineering

Texas State University

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Daniel Resendez