Renato Santili Depes
Data Scientist at Crefaz- Claim this Profile
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English Full professional proficiency
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Italiano Professional working proficiency
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Português Native or bilingual proficiency
Topline Score
Bio
Credentials
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AWS Cloud Practitioner Essentials
Amazon Web Services (AWS)May, 2022- Nov, 2024 -
MySQL
Curso em VideoMar, 2022- Nov, 2024 -
Power BI - Basic to Advanced
UdemyOct, 2021- Nov, 2024 -
Machine Learning - Stanford University
Stanford OnlineJul, 2021- Nov, 2024 -
Statistics for Data Science with Python
IBMJun, 2021- Nov, 2024 -
Data Handling and Data Analysis with Pandas - Python
UdemyJan, 2021- Nov, 2024 -
Data Science Fundamentals - Python
UdemyJan, 2021- Nov, 2024 -
Lean Six Sigma Green Belt
FM2S Treinamentos e Desenvolvimento Profissional e Gerencial Ltda.Oct, 2020- Nov, 2024 -
Lean Six Sigma White Belt
FM2S Treinamentos e Desenvolvimento Profissional e Gerencial Ltda.Oct, 2019- Nov, 2024 -
Undergraduate Research Annual Meeting (EAIC) - 2016
CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoNov, 2016- Nov, 2024 -
Undergraduate Research Institutional Program - PIBIC/CNPq - Fundação Araucária - UEM
CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoNov, 2016- Nov, 2024 -
Project Management Fundamentals
Enteléquia EducaçãoDec, 2015- Nov, 2024
Experience
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Crefaz
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Brazil
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Financial Services
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400 - 500 Employee
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Data Scientist
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Nov 2021 - Present
- Modeled different credit risk products, using machine learning techniques such as logistic regression, decision trees and ensemble methods, decreasing the payment default up to 20% and turning two products into profitable - Through Dimensionality Reduction (FAMD) and K-means Clustering, the customers profiles of the company were analysed and selected the best clusters to start offering insurance as a new product - Created for a product a semi-automated machine learning pipeline which makes the data extraction, preprocessing, and model training and evaluation, improving performance, speed and maintenance - Developed time-series prediction model SARIMA to forecast the provisions of doubtful accounts (losses) of all products in 2022, guiding the decision-making of the C-level - Created dashboards in Grafana for monitoring and alerting production parameters in real time in order to speed up corrective actions
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Raízen
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Renewable Energy Power Generation
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700 & Above Employee
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Data Analyst
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Jan 2020 - Mar 2021
Practice Areas - Distillery and Sugar ManufacturingImprovement Project - Reduction of Process Parameters Variability- Action plans on process outliers, reducing variation down to 50%, resulting in a gain of R$600,000, and a potential return of R$ 2 millions to the next crop.- Idealization of a new system of Liming in order to reduce "common causes" (R$300,000 Capex request approved)- Statistical Process Control (SPC) Implementation (Monitoring of 8 process variables)Process Data Analysis- High waiting time of trucks loaded with sugarcane on the factory zone (Results - discovered the root cause, resulting in a significative decrease of the stress situation between the factory and the supplier)- Sugar degradation on Evaporation (Results - Significative decrease on this parameter)- Safety tool used mostly for structural flaws (Results - Majority utilization of this tool for deviation behavior and zero accidents in the crop 20'21)Routine Activities- Processes and people management follow-up- Control and schedule of manufacturing supplies- Review of documents and food safety inspections
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Industrial Processes Intern
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Aug 2019 - Jan 2020
Industrial Processes Internship - Sugar ManufacturingMain Project Participant: Loss Sugar Reduction on the Final Effluent- New strategy for calibration and control of tanks level transmitters;- Leakage control of pump gaskets;- Development of a standard operational procedure for machinery liquidation.Experiences and specific activities:- Utilization of the software SAP (buy orders, making of maintenance notes; verification of materials; data collection);- Experience and working on the factory floor (Safety dialogs; 5S application; data collection instructions)
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CONSEQ - Consulting and Solutions in Chemical Engineering Junior
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Brazil
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Environmental Services
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1 - 100 Employee
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Technical Advance Coordinator
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Jan 2017 - Jun 2017
Coordinator of a new area of projects department, which aimed the evolution of domain knowledge and the expansion of the projects portfolio. Furthermore, experiences with team building, usage of Office (Word, Excel, PowerPoint) and information management standardization.Main Projects Developed: - Wine Laboratory Analysis - Feasibility Analysis - Rainwater Collection - Step-by-step Guide Development - Environmental Licensing - Step-by-step Guide Development
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Project Manager
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Jan 2016 - Dec 2016
Project Manager at CONSEQ throughout 12 months. PMBOK Guide metodology usage for project management. Huge learning and experience in leadership and people management. Usage of MS Project and MindManager for projects control.Main Projects Developed: - State Environmental Licensing Dispensation (DLAE) - Associação dos Docentes da UEM (ADUEM), Maringá/PR - Solid Wastes Management Plan (PGRS) - Peternella & Rocha, Marialva/PR - Operation Environmental Licensing (LAO) - Peternella & Rocha, Marialva/PR - Rainwater Collection System - Private Residence, Maringá/PR
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Project Assistant
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Jun 2015 - Dec 2015
Project Assistant at CONSEQ throughout 6 months. Huge learning and professional growth period. First contact and interaction with the 5S metodology and group working.Main Projects Developed:- Portfolio CONSEQ - Internal Project- Event Neutralization - Convention & Visitors Bureau (CVB)
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Education
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2021 -
Dataquest.io
Data Science | Machine Learning -
2018 - 2019
Università degli Studi di Ferrara
Master's degree, Business Management and Economics -
2014 - 2020
Universidade Estadual de Maringá
Bachelor's degree, Chemical Engineering
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