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Maria Horoiu

@mariahoroiu

Data scientist at ING Belgium who used Python feature engineering to improve a machine-learning model's predictive power.

Belgium

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At ING Belgium, I used SAS for exploratory data analysis and created visualizations to communicate patterns and trends. I also used Python to create and select features to improve a machine-learning model's predictive power.

For my KU Leuven thesis, I developed an end-to-end statistical analysis of 466 embryos from 83 IVF couples, using multiple imputation, multilevel regression, and mediation modelling. I also won the 2025 LStat Datathon, where my team developed a multilingual NLP system for analysing WWII propaganda posters and presented its results through an interactive Dash application.

Experience

Work history, roles, and key accomplishments

Data Science Internship

ING Belgium

Jul 2025 - Sep 2025 (2 months)

Conducted exploratory data analysis using SAS, identifying key patterns and trends through statistical analysis and data visualizations. Developed clear and insightful graphs to communicate findings and support data-driven decision-making.

SAS Data Analysis Data Visualization Python Machine Learning Feature Engineering

Energy Research Internship

OMV Petrom S.A.

Jul 2023 - Aug 2023 (1 month)

Researched energy storage solutions, encompassing hydrogen storage, battery storage, and pumped hydro. Employed data analysis techniques to derive insights on energy prices.

Research Data Analysis Energy Storage

Data Automation Internship

Ernst & Young Global Limited

Mar 2022 - Apr 2022 (1 month)

Developed an RPA bot automating data transfer between Excel and web platforms. Enhanced operational efficiency and productivity by eliminating manual tasks in business processes.

Robotic Process Automation Automation Excel

Compliance Assistant Internship

UCB Pharma

Aug 2021 - Aug 2021 (0 months)

Performed client and supplier evaluations based on Dow Jones lists, using the SAP system. Ensured compliance with applicable trade regulations for the Global Trade Compliance department.

SAP Compliance Trade Regulations

Education

Degrees, certifications, and relevant coursework

KU Leuven

Master of Statistics and Data Science, Statistics and Data Science

2024 -

Grade: 14.65/20, Cum laude

Activities and societies: Relevant coursework: Advanced Analytics in a Big Data World, Machine Learning for Econometrics, Data Mining & Neural Networks, Text Mining, Multivariate Statistics, Advanced Time Series Analysis, Generalized Linear Models, Robust Statistics, Data Visualization.

Pursuing a Master of Statistics and Data Science with a final grade of 14.65/20, cum laude. Thesis on the effect of paternal characteristics on sperm and embryo quality, expected completion in September 2026.

Bucharest University of Economic Studies

Bachelor's degree, Statistics and Economic Forecast

2020 - 2023

Grade: 9.43/10

Bachelor's degree in Statistics and Economic Forecast with a final grade of 9.43/10. Thesis on machine learning in the analysis of burnout, graded 10/10.