Rodolfo J.Data Scientist
Skills
Data scientist with over six years of experience specializing in artificial intelligence, machine learning, and statistical analysis across healthcare and industrial sectors. Demonstrated expertise in predictive modeling, time series forecasting, and causal inference, contributing to enhanced population health management and cost control within healthcare frameworks. Proven track record of developing advanced analytical solutions that yielded an 18% improvement in readmission predictions and a significant reduction in forecast inaccuracies through automated processes. Holds an academic background in Chemical Engineering and Complex Data Mining, complemented by certifications in cutting-edge tools such as Docker and PySpark. Proficient in utilizing machine learning frameworks and statistical methods to derive actionable insights and optimize operational efficiency. Multilingual with strong communication and stakeholder engagement skills, focused on driving innovation and delivering substantial results.
Data Scientist
12/1/2021 - null
Developed predictive models and performed statistical analysis to enhance decision-making processes in managing population health care by examining health determinants, including classification, clustering, and risk stratification.Data Scientist
4/1/2021 - 12/1/2021
Conducted research and development of predictive models and data clustering, focusing on demand forecasting and production planning through the utilization of Python, AWS, and machine learning techniques.Process Optimization Expert
10/1/2020 - 4/1/2021
Implemented advanced process control projects that significantly improved operational efficiency and financial performance for clients, utilizing fuzzy logic, artificial neural networks, and statistical optimization.Junior Process Optimization Expert
7/1/2019 - 10/1/2020
Engaged in advanced process control project deployment, applying fuzzy logic and artificial neural networks to enhance process efficiency through data intelligence and statistical optimization.Deployment Engineering Trainee
12/1/2018 - 6/1/2019
Assisted in advancing process control projects with a focus on the application of fuzzy logic and artificial neural networks to optimize operational processes.Deployment Engineering Intern
2/1/2018 - 11/1/2018
Supported the creation of reports and performed statistical analysis of projects to enhance documentation and presentation efforts within deployed projects.
Chemical Engineering at State University of Campinas
2020 - 2023Complex Data Mining at State University of Campinas
2020 - 2020Bachelor's Degree in Chemical Engineering at State University of Campinas
2013 - 2018Chemical Engineering for Energy and the Environment at KTH Royal Institute of Technology
2016 - 2017
Docker Mastery: with Kubernetes +Swarm from a Docker Captain at Udemy
4/1/2022Spark and Python for Big Data with PySpark at Udemy
3/1/2023
Rodolfo is available for hire
Hire Rodolfo J.
All Howdy Candidates are vetted for skills and english proficiency.
