Angelo C.Data Scientist
Skills
A data scientist with a background in Economic Science and a Master's degree in Business Administration. Proficient in Python, SQL, and complex statistical analyses, with additional experience in R and other statistical programs. Over a decade of market experience enhances the efficacy in applying Game Theory in modeling and machine learning, primarily aimed at business optimization.
Senior Data Scientist
9/1/2021 - 6/1/2022
Developed end-to-end automated data pipelines using Apache Airflow in Python. Performed ETL processes from APIs and third-party data sources. Provided business intelligence and data visualization employing PostgreSQL and Metabase. Developed statistical and mathematical models to support strategic decision-making. Served as a technical reference for the data science chapter.Founder and CFO
3/1/2016 - 3/1/2022
Founded and directed a non-profit association for 5 years, aligning its goals with the UN 2030 Agenda in Brazil. Leveraged data science and personally managed servers to conduct extensive Research and Development in public policies and social work. Utilized Python for master's research, focusing on the role of automation in social marketing. Developed expertise in data analysis, research methodologies, and server management to support public policy initiatives.Owner
5/1/2016 - Present
Delivered strategic consulting services leveraging extensive expertise in data science. Collaborated effectively with a partner who is a data scientist and PhD student in Economics. Developed and implemented advanced data analytics solutions to support business decision-making processes. Specialized in statistical analysis, predictive modeling, and machine learning techniques. Utilized tools and frameworks such as R, Python, and SQL to process, analyze, and visualize data. Proficiency in utilizing data visualization tools such as Tableau and Power BI to create comprehensive reports and dashboards. Applied econometric modeling techniques, financial econometrics, and time-series analysis to derive actionable insights. Ensured data integrity and reliability through rigorous data validation and cleaning processes. Demonstrated strong project management skills to coordinate multiple consulting projects simultaneously, meeting tight deadlines and delivering high-quality results. Fostered collaborative environments for team projects, enhancing collective problem-solving capabilities.Senior Data Scientist
7/1/2022 - Present
Developed expertise in creating, implementing, and maintaining advanced machine learning models using Python and SQL within AWS environments. Specialized in crafting scalable, high-performance solutions for both national and international clients. Collaborated extensively with clients to understand and address their specific business challenges, leading major projects focused on dynamic estimations and real-time fraud detection. Successfully integrated Large Language Models (LLMs) to enhance natural language processing for client applications.
Notable achievements include improving the dynamic estimation process on client platforms to achieve accuracy enhancements exceeding 40%, and implementing real-time fraud detection solutions that increased the successful identification of fraudulent cases by over 50%. Additionally, developed innovative solutions incorporating LLM models, which significantly streamlined client workflows and reduced required human intervention by more than 30%.
Economics at University of Brasília
2010 - 2014Administration at Federal University of Goiás
2019 - 2021
Intermediate Relational Database and SQL at Coursera
1/1/2020Google IT Automation with Python at Google
1/1/2020Advanced Relational Database and SQL at Coursera
1/1/2020Python and Statistics for Financial Analysis at The Hong Kong University of Science and Technology
1/1/2020Supervised Learning with scikit-learn at DataCamp
1/1/2020
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