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Wagner A.
Data Scientist

Al
Python
Google Cloud
Bio
  • Lead Data Scientist - Marketing Analytics
    9/1/2023 - Present

    In a leadership position, responsible for managing projects from conception to delivery, ensuring quality and effectiveness of proposed solutions. Supervised teams and directed implementations, liaising with contracting management to align expectations and project deliveries. Focused on talent development through continuous training of project team members. Continued to handle duties related to Consulting and Innovation as a Senior Data Scientist, which involved leveraging advanced data analysis skills and working with a variety of tools and frameworks. Gained proficiency in machine learning algorithms, big data analytics, and statistical modeling. Utilized Python, R, and SQL for data manipulation and analysis. Applied expertise in TensorFlow and Scikit-learn for building predictive models. Ensured collaborative project execution using version control systems such as Git.

  • Senior Data Scientist - Marketing Analytics
    9/1/2022 - 8/1/2023

    Developed expertise in sizing teams and selecting appropriate technologies for data science project execution. Collaborated closely with business development teams to understand complex business problems and create tailored project proposals for prospective clients. Specialized in the development of Marketing Science and Analytics solutions, with a focus on statistical attribution models, marketing mix modeling (MMM), and incrementality experiments. Utilized advanced statistical methods and data analysis techniques to innovate and improve marketing strategies. Enhanced skills in consulting by providing strategic advice on technology adoption and team composition for various projects.

  • Senior Data Scientist - Marketing Analytics
    8/1/2021 - 8/1/2022

    Developed advanced data analysis skills, employing statistical modeling and machine learning algorithms to extract insights from extensive data sets. Utilized techniques to measure, collect, clean, interpret, and visualize data from diverse sources including web and app generated data, transactional and offline operations, market behavior, and various marketing and analytics platforms. Conducted predictive and prescriptive analyses to identify patterns, trends, and potential business opportunities, enabling the segmentation of customer groups and deep analysis of user behavior. Assessed the dynamics of marketing and analytics data, providing actionable recommendations that facilitated client growth. Demonstrated expertise in statistical techniques, predictive modeling, and data-driven decision making, contributing significantly to business strategy and development.

  • Electrical Engineering at Pontifical Catholic University of Rio Grande do Sul
    2013 - 2019

  • Data Science and Artificial Intelligence at Pontifical Catholic University of Rio Grande do Sul
    2022 - 2023

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