Anabeth Radünz
@anabethradnz
Experienced data scientist specializing in machine learning and statistical modeling.
What I'm looking for
I am a Data Scientist with over 8 years of experience in data analysis, machine learning, and statistical modeling. My expertise lies in developing advanced predictive models and delivering data-driven solutions to complex problems. I am proficient in Python, R, and SQL, with a strong background in quantitative risk analysis and applied research.
Throughout my career, I have demonstrated a proven track record in cross-functional collaboration, successfully transitioning research from concept to real-world applications. At Allianz, I designed and implemented KPIs and monitoring dashboards that provided actionable insights, contributing to a 45% increase in sales for our fleet insurance product. My commitment to leveraging statistical expertise drives insights and strategic decision-making, ensuring that analytical solutions align with business objectives.
Experience
Work history, roles, and key accomplishments
Data Scientist
Allianz
Mar 2023 - Present (2 years 6 months)
Designed and implemented KPIs and monitoring dashboards to track key risk indicators, ensuring visibility and actionable insights for stakeholders. Developed machine learning models for risk assessment in the fleet insurance product, using Python to calculate technical pricing. These models contributed to the product exceeding performance targets, resulting in a 45% increase in sales.
Temporary Research Assistant
Florida International University
Oct 2021 - Present (3 years 11 months)
Conducted research focusing on convolutional neural networks for signal classification, boosting model accuracy. Partnered with academic and technical teams to advance data-driven solutions, employing Python and MATLAB.
Applied Researcher
Universidade Federal de Pernambuco
Mar 2017 - Present (8 years 6 months)
Developed and refined machine learning models in Python, enhancing accuracy and applicability across diverse research and business projects. Led research initiatives, employing advanced methodologies in PyTorch for comprehensive data analysis and model optimization, resulting in high-impact solutions.
Education
Degrees, certifications, and relevant coursework
Universidade Federal de Pernambuco
PhD in Statistics, Statistics
2019 - 2023
Conducted advanced research in statistics, focusing on complex data analysis and model development. Specialized in machine learning and statistical modeling, contributing to academic publications.
Universidade Federal de Pernambuco
MSc in Statistics, Statistics
2017 - 2019
Pursued a Master of Science in Statistics, deepening knowledge in statistical theory and applied methodologies. Engaged in research projects that enhanced analytical and problem-solving skills.
Universidade Federal de Santa Maria
BSc in Statistics, Statistics
2012 - 2016
Completed a Bachelor of Science in Statistics, building a strong foundation in statistical principles and quantitative analysis. Developed core competencies in data interpretation and statistical software applications.
Availability
Location
Authorized to work in
Job categories
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