Daniel B.Data Scientist
Skills
With a foundational passion for mathematics and a technical background in computer science, this candidate specializes in data science and operational research, aiming to generate significant value for clients. Currently pursuing a degree in Computer Engineering, their professional trajectory includes experience as a Data Scientist at LogComex, where they successfully migrated and automated legacy data pipelines, developed predictive regression models, and enhanced logistical efficiencies through advanced graph modeling. Previously at IBM, they analyzed customer behavior via graph theory, scraped web data for financial insights, and implemented real-time monitoring systems for safety improvements. Their academic pursuits are complemented by certifications in data science and educational contributions, demonstrating a commitment to excellence and continuous learning in the field.
Mid-Level Data Scientist
10/1/2023 - Present
Executed the migration and automation of a legacy data pipeline using PySpark in AWS EMR, enhancing data processing efficiency and speed while developing predictive regression models with decision trees to forecast critical values. Additionally, employed Neo4J and Cypher to establish route prediction models that significantly improved logistical efficiency and customer satisfaction.Mid-Level Data Science Consultant
4/1/2022 - 10/1/2023
Analyzed customer behavior using graph theory and NetworkX, leading to better insight into problematic service channels and targeted interventions for improved customer support. Conducted web scraping for financial data and employed text processing techniques for customer message categorization, enhancing support efficiency and informing strategic decisions.Junior Data Science Consultant
9/1/2020 - 4/1/2022
Addressed complex logistical challenges using Operational Research and linear programming to optimize maritime logistics and food distribution, while developing a web BI platform for customizable visualizations that streamlined resource exploration. Contributed to XAI research with published work, promoting transparency in AI model interpretations.Data Scientist Intern
9/2/2019 - 9/1/2020
Developed machine learning models to predict maintenance needs for trucks and tires at a mining company, resulting in more efficient predictive maintenance and reduced operational costs. Created scrapers for social listening that improved visibility into service shortcomings for a telecommunications company, facilitating significant service enhancements.
Computer Engineering at FIAP - Paulista College of Informatics and Administration
2018 - 2023Informatics at Cruzeiro do Sul College
2015 - 2017
IBM Recognized Teacher/Educator at IBM
5/1/2023Data Science Profession Certification - Level 1 Experienced at IBM
9/1/2023
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