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Velber N.
Data Engineer

Google Analytics
Microsoft Sql Server
Python
Bio

A Chemical Engineering graduate with a specialization in data science and market intelligence, adept at delivering strategic information to support decision-making processes. Proficient in data analysis and dashboard construction, leveraging tools such as Excel and Power BI to provide actionable insights. Engaged in ongoing professional development, currently pursuing a Green Belt certification in Lean Six Sigma and postgraduate studies in Project Management and Agile Methodologies. This comprehensive skill set ensures a versatile approach to problem-solving across diverse industries and organizational scales.

  • Market Intelligence Analyst
    12/1/2022 - 10/1/2023

    Supported studies and diagnostics by analyzing internal performance data to identify opportunities for improvement. Conducted competitive analysis through benchmarking, understanding market trends, potentials, and projections. Performed marketing analytics to enhance the customer journey and built datasets and visualizations to comprehend consumption profiles and patient life spans. Engaged in various studies on conversion rates, profit margins, partnerships, and the elasticity between supply prices and demand. Developed expertise in business analysis, insights, and pricing strategy, utilizing tools such as Metabase, Google BigQuery, Domo, and Microsoft Excel. Enhanced market intelligence through detailed data modeling and analytical skills. Demonstrated proficiency in SQL and ensured effective collaboration within a team environment.

  • Market Intelligence Analyst
    12/1/2021 - 7/1/2022

    Executed data collection, treatment, updating, and market information analysis, showcasing strong analytical skills and attention to detail. Conducted comprehensive market monitoring and developed projects and new business initiatives grounded in market data insights. Supported the creation of strategic actions, monitored performance metrics, and performed correlation and trend analysis. Demonstrated proficiency in business analysis, insights development, and data analytics using Microsoft Power BI, effectively translating complex data into actionable business strategies through interactive dashboards.

  • Chemical Engineering at Federal University of Santa Maria
    2014 - 2019

  • MBA in Data Science and Analytics at University of São Paulo, College of Agriculture Luiz de Queiroz (USP/Esalq)
    2023 - 2024

  • MBA in Strategic Project Management and Agile Methodologies at Uncomplicate College
    2020 - 2021

  • Santander Bootcamp 2023 - Data Science with Python at DIO
    10/1/2023

  • Training in Data Analytics at Digital House
    7/1/2021

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