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Frida Karvouni

@fridakarvouni

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Experienced Data Scientist with a passion for advanced analytics.

Greece

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data science.

I am an experienced Data Scientist with over six years in the field, specializing in machine learning and advanced analytics. My journey has been marked by significant achievements, including a 30% improvement in forecast accuracy compared to business predictions. I thrive on leveraging data to drive business decisions and enhance operational efficiency.

At Albert Heijn, I played a pivotal role in boosting EBIT by millions through the development of specialized models tailored for each time frame. My expertise in advanced machine learning models allowed me to achieve a forecast accuracy WMAPE of 20-30%. Additionally, I have a passion for mentorship, having guided three junior data scientists, sharing valuable knowledge and fostering their growth in the field.

My technical skills encompass a wide range of tools and methodologies, including logistic regression, clustering algorithms, and NLP for product description matching. I am also an avid blogger, having authored eight data science posts on platforms like Towards Data Science, which reflects my commitment to sharing knowledge and insights with the broader community.

Experience

Work history, roles, and key accomplishments

Data Scientist

Albert Heijn

Apr 2020 - Jun 2024 (4 years 2 months)

Achieved forecast accuracy WMAPE of 20-30% using advanced ML models, significantly boosting EBIT by millions. Performed forecasting time series, NLP for product descriptions, and optimisation modelling with Pyomo. Utilized Causal Discovery for precise feature selection and worked on production-ready code.

Machine Learning Time Series NLP Optimization Pyomo Python

Advanced Data Analyst

Vodafone

Oct 2018 - Mar 2020 (1 year 5 months)

Applied logistic regression to identify customer satisfaction drivers and clustered customer preferences using KNN. Conducted hypothesis testing to respond to ad-hoc requests, leading to data-driven actions. Successfully managed stakeholders throughout projects.

Logistic Regression Clustering K NN Hypothesis Testing Data Analysis SQL Python Pandas

Education

Degrees, certifications, and relevant coursework

University of Aberdeen

MSc, Geographic Information Systems (GIS)

Completed a Master of Science degree in Geographic Information Systems (GIS) at the University of Aberdeen. This program provided advanced knowledge and skills in spatial data analysis and management.

Aristotle University of Thessaloniki

BSc, M.Eng., Surveying Engineering

Obtained a Bachelor of Science and Master of Engineering in Surveying Engineering from Aristotle University of Thessaloniki. This comprehensive program covered various aspects of surveying, mapping, and geoinformatics.