Willian R.
Data Scientist

Skills

Sql

Google Bigquery

Microsoft Sql Server

Python

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Bio

Data Scientist with over six years of experience specializing in statistics, data analysis, data science, machine learning, data visualization, and leadership. Proficient in technologies and tools essential for data analysis and modeling, including Python with libraries such as pandas, numpy, scikit-learn, scipy, seaborn, and matplotlib, as well as R and SQL. Familiarity extends to data handling utilities like Google Colab, Excel, and Google Sheets.

Demonstrates expertise in data visualization using tools such as Data Studio, Power BI, and ggplot2, along with matplotlib and seaborn. Capable of generating comprehensive reports using PowerPoint and Google Presentations. Possesses strong skills in code versioning with extensive use of Git, GitHub, and GitLab for effective source code management.

Experienced in database management with proficiency in Big Query, SQL Server, and SQLite, ensuring efficient database operations. Exhibit comprehensive management abilities employing Kanban and Jira for project oversight along with the implementation of frameworks such as OKRs (Objectives & Key Results) and SWOT analysis. Proven in developing data department policies, structuring processes, and managing delivery flows.

Special interest areas include Machine Learning, Time Series Analysis, Non-parametric Methods, Regression Analysis, KPI development, and demonstrating robust leadership qualities.

SCIENTIFIC INITIATION SCHOLARSHIP
11/1/2016 - 8/1/2017

Performed exploratory data analysis utilizing Biostatistics and Non-Parametric Statistics techniques. Developed machine learning models with a focus on supervised learning, specifically using Support Vector Machines (SVM). Employed MATLAB and R extensively for model development and data analysis within the scope of the neurocognitive engineering field.
Senior Data Scientist
7/1/2023 - 3/1/2024

Developed technical leadership skills on major projects in the Financial Services Operations area. Maintained direct contact with clients, performed analyses, and created models and methodologies incorporating machine learning and artificial intelligence both on premise and in cloud environments. Excelled in managing project backlogs and ensured quality control in deliverables produced by junior professionals. Conducted internal analyses to assist in the decision-making process at the national level, reporting findings directly to the board of directors and other executives. Contributed to the company's Generative AI Center of Excellence, delivering actionable AI-generated solutions for clients in the financial sector.
Senior Modeling Analyst
8/1/2022 - 4/1/2023

Assumed technical leadership within the Advanced Analytics team, focusing on Model Monitoring and development using R. Facilitated the team's efficiency and quality in deliverables by implementing management processes, including the creation and monitoring of KPIs and managing tasks through a Kanban board in Jira.
Business Intelligence Supervisor
11/1/2021 - 8/1/2022

Led the BI team responsible for deliveries, encompassing data modeling, integration, reporting, data analysis, and dashboard creation. Engaged in strategic collaboration, managing relationships with clients and internal/external stakeholders, and evaluated technical project requirements for successful implementation with the data team. Demonstrated expertise in data exploration and ad-hoc analysis using SQL, R, and Python, complemented by proficiency in tools such as Excel, Google Sheets, and Microsoft PowerPoint.
Data Analytics Supervisor
2/1/2019 - 11/1/2021

Directed a team of 11 analysts specializing in Web Tracking, Data Analysis, and Data Science, achieving efficient task allocation and project management. Developed expertise in digital marketing data management from platforms including Google Analytics, Facebook Business Manager, and Google Ads. Utilized Google Tag Manager for web tracking and implemented agile methodologies, particularly Kanban, using Jira software for streamlined project organization and execution.
Data Science Internship
6/1/2017 - 12/1/2018

Involved in data analysis and data science projects, specializing in creating dashboards and data visualizations using R language. Proficient in data manipulation with SQL Server for PowerBI dashboard creation, particularly for fintech clients. Conducted detailed studies and monitoring of data and default indicators, leveraging proprietary API data for enriched analysis. Developed risk models using multivariate and logistic regression techniques with R language.