João Muzzi

I lead the development of AI-driven data products and decision-support systems, combining machine learning, data engineering, financial modeling, and applied analytics for institutional and corporate clients.

Co-founded NeurAxis and lead the development of AI-driven data products and decision-support systems, combining machine learning, data engineering, financial modeling, and applied analytics for institutional and corporate clients.

In silico analysis of immuno-oncogenomic data for the Big Data Project focusing on pediatric and rare tumors.

Developed a genetic testing pipeline for identifying risk-associated variants for Alzheimer's disease and breast tumors, including VCF processing, predictive modeling with neural networks, and automated report generation.

Developed a genetic testing pipeline for the identification of risk-associated variants related to Alzheimer’s disease and breast tumors. The project involved the processing and interpretation of VCF files, the development of predictive models using neural networks, and the automated generation of individualized genetic reports.

I manage the end-to-end lifecycle, from project inception and technical definitions to planning, execution, and delivery of data products and consulting.

As a Data Specialist and Data Product Owner, I managed the development and debugging of data products, including indicators, reports, and dashboards for key clients. I was also responsible for managing the database infrastructure.

Analysis of KPIs and financial data, business intelligence, and development of greenhouse gas
emissions products. In four months, I developed the MVP of FleetGreen in collaboration with
Mercedes-Benz, an application for monitoring and presenting greenhouse gas emissions data
based on truck telemetry. This project was showcased at FENATRAN 2022, the main Latin
American fair in the cargo road transp

Main activities: in silico analysis of oncogenic data focusing on immune response and evasion mechanisms.

Ongoing projects: BIG DATA -
Genome, transcriptome and proteome of adrenal cortex tumor and pediatric neuroblastoma: immunological profile and prognosis

Supervision of the administrative and financial sectors, computerization of the administrative sector,
business intelligence, and analysis of accounting, commercial, and financial data for strategic
decision-making. With the computerization of the administrative sector, we significantly reduced the
average time and human errors during budget execution. I created a pricing model for services and
pr

Instructor of Shotokan Karate-do.

Main activities: research, development and optimization of the tetanus protein production and quantification process in the Division of Bacterial Vaccines.

Main activities: control, optimization, and monitoring of fermentation processes for enzymatic production; mathematical modeling of fermentation dosage and aeration, modeling of electricity costs at the Araucária plant, training of personnel in the restructuring of functions in the productive process sectors, energy efficiency projects and reduction of production costs.

Main activities: Research and development of diagnostic kits for toxoplasmosis and neurocysticercosis; performance of serological and enzymatic assays; immunochemical studies of
toxins and cell culture.

This MicroMasters® program in Statistics and Data Science (SDS) was developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). It is a multidisciplinary approach comprised of four online courses and a virtually proctored exam that provides the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and

Completed the MITx MicroMasters program in Statistics and Data Science, covering probability, statistics, data analysis, and machine learning.

HMX Pro is a 10-week online program from Harvard Medical School. I earned a Certificate of Achievement in Immuno-oncology course.

Earned a Certificate of Achievement in Immuno-oncology through the HMX Pro online program.

Doctor of Philosophy in Microbiology, focusing on immuno-oncogenomic data analysis.

Interrupted Master's degree (all credits completed) by the UNESCO program in Biotechnology for Sustainable Development (BIODEV) with a project to develop a quantitative method for detecting tetanus toxoid in partnership with the Institute of Technology of Paraná (TECPAR). The project was interrupted due to the closure of the Institute's Bacterial Vaccines Division.

Interrupted Master's degree in Plant Biology and Biotechnologies under the UNESCO BIODEV program, with a project on tetanus toxoid detection.