Willian Scholz

Data Scientist @ Uber

About

Graduated in Engineering with a solid background in Data Science and Analytics, I am passionate about transforming data into strategic decisions that drive business and optimize results. My approach focuses on simple and effective solutions, always prioritizing clarity and efficiency in communication. I excel at translating technical knowledge and complex concepts into clear messages for various audiences. Strengths: • Extensive experience in data analysis, advanced statistics, and data science applied across sectors such as industry, logistics, finance, and insurance. • Strong ability to translate technical concepts for stakeholders from various areas, using clear data visualizations and business-oriented storytelling. • Fast learner, self-taught, and always open to innovation, new tools, and ideas. • A questioning, detail-oriented mindset. Continuously seeking ways to work more efficiently while maintaining a focus on quality. • Creativity and versatility to tackle problems/solutions with unclear objectives. Tools: • Programming Languages: Python, R, SQL, SAS, Pyspark • Frameworks and Tools: Databricks, AWS S3, Power BI, Excel, Git Technical Competencies: • Data Science and Business Analysis • Advanced data analysis • Development of regression models, classification, machine learning (Random Forest, Boosting), predictive analysis, and GLM. Recent Work: • Conducting business and data analysis for digital products (App/Web), enabling more accurate decision-making and driving the business toward better results. My recent scope includes: running studies and analyses, conducting A/B tests on the platform, evaluating and estimating the financial impact of new features, developing and tracking strategic metrics, and providing analytical support to multiple product squads, working closely with PMs, leadership, and various departments.

Country

Brazil

City

São Paulo

Industry

Banking

Skill

Métricas-chave, Gestão de desempenho, Relatórios financeiros, Planejamento estratégico, FinTech, Cartões de crédito, Mercado de crédito, Análise de crédito, Risco de crédito, Produtos digitais, Análise de dados estatísticos, Análise preditiva, Análise de dados nos negócios, Testes AB, Análise de dados, Análise de negócios, Aprendizado de máquina, Conhecimento de negócios, Competências interpessoais, Tomada de decisões baseadas em dados

Experience

Data Scientist

Uber

2025-4 - Present · 1 yr 6 mos

São Paulo, Brasil

Specialist Data Analyst / Tech lead

Experian

2023-1 - 2025-1 · 2 yrs 1 mo

• Product and credit analysis, focused on improving the consumer journey and maximizing financial gains for our platform. • Developing and tracking strategic metrics KPIs (Key Performance Indicators). • Evaluating and estimating the financial impact of new features. • Strategic planning and assisting in the preparation of executive materials. • Contributing to building a data-driven culture within the product team Relevant projects: Optimization and Personalization of Credit Offers By modifying business rules, adjusting pricing, and optimizing offer prioritization based on customer segmentation, I generated an additional $2M in revenue for the product and reduced the number of unprofitable customers Improvement of product showcase/exhibition: Indirectly contributed insights that generated $8M in revenue for the product.

Senior Statistical Modeler

Serasa Experian

2021-8 - 2023-1 · 1 yr 6 mos

São Paulo, Brasil

• Risk modeling for credit. • Developing a probability of default model for credit card approval. • Conducting studies and backtests on credit for our business partners (banks), acting as a consultant. • Developed a new Machine Learning scoring model that increased the number of offer-eligible customers by 20% (-15% deliquency).

Data Scientist

LexisNexis Risk Solutions

2020-6 - 2021-8 · 1 yr 3 mos

São Paulo, Brasil

Predictive modeling in insurance. Developing new products and scores using alternative data sources. Development of models that estimates the Frequency, Severity and Loss cost of claims. Modeling using traditional generalized linear models, as well as evaluating the usage of other Machine Learning techniques.

Data Scientist | Analytics | Statistical modelling in Credit

Banco Bradesco

2019-3 - 2020-3 · 1 yr 1 mo

Curitiba

• Development of statistical models and studies on credit risk (Probability of Default models) and credit conditions (credit score and behavior score) for the 2th biggest brazilian bank – 70MM of customers • Testing new data sources and techniques to improve the performance of models that are used to take credit decisions • Construction, analysis, validation and manipulation of huge volumes of data • Technical presentations

Logistics Analyst

MBRF

2018-2 - 2019-4 · 1 yr 3 mos

São José dos Pinhais, Paraná

• Cost management of the distribution operation (freight) of state of Paraná – BR • KPI management • Continuous improvement projects: analysis, data stratification, PDCA • KPI presentations

Industrial Performance Internship

Grupo Boticário

2017-2 - 2017-12 · 11 mos

São José dos Pinhais

• Industry’s KPI reports • Development of dashboard and new reports that enabled the Director and Managers to manage KPIs and to accomplish the Business goals • Automation and optimization of spreadsheets, reducing time to generate and update reports and dashboards: integrating SAP with Excel and making use of VBA programming to extract data from SAP automatically