Contact:

e-mail: [email protected]

Currently:

Tech Lead: Data Coordinator - Cáritas GV

Brazil, Minas Gerais

Education:

— Federal University of Juiz de Fora - Governador Valadares Campus

— Graduation BA in Economics — 2016 / 2020

Experience

Coordinator - Cáritas Diocesana Governador Valadares (2023/current)

Technical Advisor - Associação Estadual de Defesa Ambiental e Social — AEDAS (2020/2023)

Falnésio Ghander Soares Borges is an experienced technology specialist with a strong background in creating and implementing technological automation and workspace infrastructure in humanitarian crisis situations. With a proven track record at Cáritas Gv and Aedas Itatiaiuçu, Falnésio excels in data management, technology training, and process automation, helping teams leverage tools like Kobotoolbox for efficient data collection and analysis.

Key Responsibilities

1. Technological Automation & Infrastructure
   • Developed automation systems and workspace infrastructure for Caritas Gv and Aedas Itatiaiuçu during humanitarian crises.
2. Technology Training & Support
   • Educated and colaborated with various ATIs on Kobotoolbox usage, data management best practices, and troubleshooting across various devices (computers, tablets, cellphones).
3. Data Management & Security
   • Managed and secured data collection processes, ensuring the integrity and privacy of sensitive information.
4. Form Development & Field Training
   • Collaborated with transdisciplinary advisors to develop data collection forms across regions and institutions and trained field workers on their usage.
5. Data analysis
   • At Aedas assisted the Legal negotiation team, the Economics team and the Accounting team in the production of evidence for the families damaged by ArcelorMittal's ****Emergency Action Plan for Mining Dams;

Scholarship - Núcleo de Agroecologia de Governador Valadares — NAGÔ (2016/2020)

—Highlights from my participation—

1. Rede Tamanduá de Prossumidores Agroecológicos (2020):
   • Full stack development of an ERP personalized online store with logistic management and analysis capabilities. Digital transformation generating efficiency and cost reduction.
   • Sales data analysis with R.
2. CRESAFA (2019):
   • Developed an algorithm for logistics and financial analysis. Resulted in the reduction of 15 hours of monthly work to 5 minutes.
   • Creation of an algorithm to analyze contracts in R.
3. Programa NAGÔ - Banco de Dados do Território Médio Rio Doce (2019):
   • Elaborating a relational database structure.
   • Transferring data from a physical to a digital media.
   • Exploratory analysis through SQL.
   • Elaboration of maps to visualize sociospatial data.

Personal Projects:

1. Medium article on financial education using a series of Python algorithms to simulate financial operations.