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Michael Linker

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São Paulo, Brazil

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Résumé

Jobs verified_user 0% verified
  • Accruent
    Data Engineer
    Accruent
    May 2024 - Current (2 years 2 months)
    • Built and optimized data pipelines with dbt, Singer, Prefect, and Snowflake, creating views for better data utilization. • Integrated tools via APIs to streamline data flow and accessibility. • Developed risk models using LLMs to analyze emails and mitigate customer risks. • Designed a payment provisioning pipeline with AI algorithms, Snowflake, Flask, and CI/CD on Azure to predict payment delays. • Applied sentiment analysis with LLMs to enhance customer health and categorize issues. • Automated data pipelines using REST APIs for scalable processing.
  • S
    Data Manager
    Sxpel
    Jul 2023 - May 2024 (11 months)
    • Collaborated with clients from project inception, identifying their specific needs and leveraging data expertise to deliver tailored solutions, resulting in a 15%+ increase in contract value through additional projects. • Designed and implemented ETL processes using Python for data extraction, cleaning, and categorization, integrating data from multiple sources and delivering Power BI dashboards that transformed client understanding of their data. • Expanded project scopes based on data maturity, introducing new analytical features and achieving n ear-total accuracy with client data, enhancing overall project value. • Led web scraping initiatives, successfully launching three new data-driven projects by delivering efficient and action
  • Inetum
    SAP Consultant
    Inetum
    Feb 2023 - Jul 2023 (6 months)
    • Implementation of BW HANA database • S4 HANA unit testing • String testing (Integrated) • Creation of documentation in Solman • Testing and validation of Fiori apps in Embedded Analytics • Customization of SAP solutions to meet client needs
  • CloudWalk
    Risk Analyst
    CloudWalk
    May 2022 - Feb 2023 (10 months)
    • Creation of dashboards to monitor fraud prevention metrics in real-time, using new insights to develop and apply business rules, identifying gaps in current queries, and generating instant alerts when any outlier appears, being able to prevent almost 10% more fraud by understanding visually fraudster behavior. • Maintained constant contact with customers after suspicious transactions, navigating challenging environments to understand the customer's situation, being able to prevent hundreds of inappropriate money retentions in clients who were not fraudsters • Conducted in-depth studies of business rules created with transaction data using Python and SQL in BigQuery, uncovering potential gaps in fraud prevention rules and being able to
  • Viasat
    Finance Data Scientist Intern
    Viasat
    Apr 2021 - May 2022 (1 year 2 months)
    • Automated dashboards to monitor EBIT, EBITDA, and operating profit, enabling quicker and more accurate decision-making for the finance team. • Saved over 10 hours of manual work per month by automating data workflows and Excel spreadsheets, increasing department productivity. • Reduced fraudulent activities and financial risks in more than 15% by implementing fraud analysis models using Power BI and Python. • Cut invoicing errors by 20% and accelerated billing processes through the development of an automated invoicing system in Excel. • Improved targeted customer service delivery by 10% through customer data analysis and persona creation. • Reduced reporting preparation time by 30% with Alteryx workflows, enhancing operational effi
  • Randstad
    Business Intelligence Intern
    Randstad
    Dec 2020 - Apr 2021 (5 months)
    • Created and standardized multiple databases using Google Sheets and Google Apps Script, achieving high automation and centralized data cross-referencing. This reduced manual effort and saved 10 hours per month through efficient automation. • Designed and developed dashboards in Google Data Studio, aligning with customer needs and objectives, improving understanding of consulting processes, and increasing key customer retention rates. • Provided cross-departmental support by automating spreadsheets with Python, enhancing productivity and reducing manual workload across teams.
Education verified_user 0% verified
  • Universidade Presbiteriana Mackenzie
    Bachelor of Engineering
    Universidade Presbiteriana Mackenzie
    Jun 2018 - Jun 2023 (5 years 1 month)