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Matheus Siqueira

@matheussiqueira

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Data Scientist at KPMG who developed Python and Selenium RPAs, reducing repetitive work by ~40 hours/month per RPA.

Brazil

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At KPMG, I work on ETL and data cleaning with SQL, Python, and Spark, and use text mining and OCR to extract information.

I developed Python and Selenium RPAs that reduced repetitive work by ~40 hours per month per RPA, with an estimated ROI increase of ~120k per month. I also created strategic Power BI dashboards and developed internal RPAs to boost productivity.

At Kimberly-Clark – IEL, I conducted exploratory analyses and developed linear and logistic regression models for forecasting and segmentation. I also built dashboards and presentations and led workshops to support a Data Science environment focused on a Data-Driven culture.

Experience

Work history, roles, and key accomplishments

Current

Mid-level Data Analyst

Current

KPMG

Jun 2021 - Present (5 years 5 months)

Performed ETL and data cleaning for large volumes using SQL, Python, and Spark. Developed RPAs with Selenium and Python, reducing repetitive process time by ~40 hours per month and increasing ROI by ~120k per month.

SQL Python Spark ETL Text Mining OCR ABBYY FlexiCapture Selenium Robotic Process Automation Power BI Project Management

Jr Data Scientist

Kimberly-Clark

Jun 2020 - Jun 2021 (1 year)

Conducted exploratory analyses and developed Linear and Logistic Regression models for forecasting and segmentation. Built dashboards and led workshops, presenting technical results to international teams in English.

Data Analysis Machine Learning Linear Regression Logistic Regression Power BI Dashboarding Presentation Skills English