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With over 3.5 years of hands-on experience in Data Analysis, Data Science, and Business Intelligence, I specialize in turning complex data into actionable insights that drive business growth and decision-making. I’ve worked across diverse industries, leveraging R, Python, SQL, Power BI, and machine learning to deliver data-driven solutions that optimize operations and enhance performance. Starting in 2016, I built a strong foundation in HR People Analytics, using data to shape talent strategies. From 2019, I expanded my expertise in Power BI and SQL, creating powerful business intelligence tools that empowered teams to make data-backed decisions. In 2020-2021, I combined data science, UX research, and digital phenotyping to explore innovative applications in mental health, applying advanced Python analytics. Currently, I’m focused on predictive modeling, business intelligence, and data-driven strategy to help businesses unlock new opportunities. With a solid HR background, I bring a unique approach to data-driven business optimization that ensures results. Also, I keep studying to expand my knowledge, involved in a Databricks course. Ready to take on the next challenge? Let’s connect and explore how I can drive value for your organization.
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