Filipe A. Herzer
Data Analyst
Montenegro
Summary
A tireless learner motivated by improving processes. Adept at transforming data into powerful insights, optimizing factory processes and logistics. Leadership in projects, warehouse implementation, process improvement and automation, combined with a talent for strategic problem solving and and manufacturing operations efficiency.
Overview
12
12
years of professional experience
4
4
Languages
Work History
PL Data Analyst
John Deere
08.2024 - Current
- Validated savings of $720K as technical leadership in the Factory Materials technology area, including the development of automation projects, dashboards, jobs, and reductions to lack of production;
- Managed and implemented two warehouses valued at US$35M, as well as conducted a team of 20 people involved with flow planning, infrastructure and necessary systemic configurations.
- Analyze complex datasets and deliver data-driven strategies for optimizing business operations and enhancing performance through ETL (extract, transform, and load);
- Expertise in SAP HANA Database, SSMS, Enterprise Data Lake (EDL), and Databricks, leveraging data manipulation skills using Python, advanced Excel, SQL, and PowerBI. SAP Subject Matter Expert (SME) in LES/WM and MM/PP (partial);
- Experience in material flow process automation, including: MiR Autonomous Mobile Robots (AMR) and RFID gates to control materials and packaging flow;
- Led, approved and implemented AutoStore, an ASRS (Automated Storage and Retrieval System) solution for totes, also conducting meetings related to SAP API/IDoc integration;
SR Materials Analyst
John Deere
10.2022 - 07.2023
- Led process improvement initiatives within Logistics Engineering (Factory Materials and Material Flow) by collaborating with manufacturing, production, and supplier teams.
- Vast experience with Microsoft PowerPlatform (Power Apps, PowerBI, Power Automate), leveraging it to automate routines and digitize processes. Proficient in Figma and UI/UX design for enhancing user experiences.
- Utilized and trained Computer Vision and Machine Learning (CVML) codes for event detections;
- Implemented a telemetry solution for logistics assets, as well as conducted training for users and increased fleet efficiency (aiming increasing OROA).
PL Materials Analyst
John Deere
04.2022 - 09.2022
- Joined the Smart Connected Factory Hub, a team dedicated to creating solutions for Industry 4.0, integrating multiple processes to make the factory more agile in responses and predictive in production impacts;
- Successfully implemented multiple Robotic Process Automation (RPA) initiatives leveraging SAP Scripting for enhanced efficiency and process automation.
Logistics Engineering Intern
John Deere
02.2021 - 04.2022
Undergraduate Research Project
GPMOT - UFSM
04.2017 - 01.2020
- Member of GPMOT (Research Group on Engines, Fuels and Emissions) and scientific initiation scholarship over three different main projects;
- Implementation of automation cells, sensors and code development in MATLAB and labVIEW to carry out experimental tests with SI, CI and HCCI engines;
- Analysis of flows, statistics and probabilities, predictions, chemical kinetic models and simulations using GT-SUITE/GT-Power ;
Administrative Assistant
TW Transportes
03.2013 - 07.2014
Education
Bachelor's Degree: Mechanical Engineering
Federal University of Santa Maria
Santa Maria, Rio Grande Do Sul, BrazilSkills
- Python, SQL and SSMS;
- PowerBI, Power Automate and PowerApps;
- SAP LES/WM/MM/PP, S/4HANA, SAP HANA Database;
- Databricks, Jira, Figma, ServiceNow;
- AutoCAD/Creo;
Timeline
PL Data Analyst
John Deere
08.2024 - Current
SR Materials Analyst
John Deere
10.2022 - 07.2023
PL Materials Analyst
John Deere
04.2022 - 09.2022
Logistics Engineering Intern
John Deere
02.2021 - 04.2022
Undergraduate Research Project
GPMOT - UFSM
04.2017 - 01.2020
Administrative Assistant
TW Transportes
03.2013 - 07.2014
Bachelor's Degree: Mechanical Engineering
Federal University of Santa Maria
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