Athanasia Giatsou
Data Scientist
Lisbon
Summary
I am often described by peers as a creative mind with a keen eye for detail and the state of the art technologies. My career interests have included a broad range of fields and thus, I am bringing diverse skills and perspectives to an organization. I am committed to nurturing AI's role in delivering insights that empower smarter decision-making and building solutions that enhance business outcomes and always serve real-world needs. My vision for AI is rooted in balance; a balance that considers innovation's power and ethical responsibility's importance.
Overview
3
3
years of professional experience
Work History
Data Scientist
Siemens
10.2022 - Current
- Part of the ”data-driven decisions” team, developing timeseries forecasting solutions for business KPIs, with custom AutoML pipelines.
- Technical leader of a timeseries forecasting use-case on profit prediction.
- Technical leader of a cross-selling project implementing customer segmentation, market basket analysis and product recommendation.
- Working closely with business customers to integrate their needs into the end product, gaining business strategy and storytelling skills
Junior Data Scientist
Siemens
02.2022 - 09.2022
- Part of the development team responsible for a price recommendation system, using Machine Learning and Data Analytics.
- Integrate market intelligence data into the recommendation model.
- Working closely with the Sales Department to increase the explainability of the AI processes and products.
Junior Data Scientist
Sentio Solutions
11.2019 - 06.2020
- Emotion detection using time-series physiological signals from several biosensors.
- Development of algorithms that decide in real-time whether a change in the user’s physiological state is describing an emotional event or not.
- Creation of dataset with signal segments annotated by user feedback and clustering to handle large amount of data.
- Parameters tuning, evaluation metrics and error analysis.
- Visualization of the pipeline’s performance.
Data Science Intern
Sentio Solutions
08.2019 - 10.2019
- Developed a baseline supervised classification system for emotional physiological data from a wearable.
Education
Master of Science - Electrical and Computer Engineering
09.2022
- GPA: 7.10/10
- Thesis Statement: Retinal Vessel Image Segmentation using Deep Learning
- Completed Coursework: Computer Science, Artificial Intelligence and Signal Processing, Bioengineering
- Study Abroad: Summer School on Machine Learning applications - University of Bremen, Bremen Germany - September 2018
- Member of Electrical Engineering Students' European Association (EESTEC), 2016 to 2018
Skills
- Programming Languages: Python, MATLAB, C, C, Java, SQL, R, Git, Bash, Linux
- Frameworks: PyTorch, TensorFlow
- Tools: Microsoft Azure ML, Snowflake
- ML Model Types: Regression, Classification, Forecasting, Clustering, Neural Networks, Dimensionality Reduction, Ensemble Methods, Medical Imaging
- Python Libraries: Pandas, Sklearn, NumPy, OpenCV, Scikit-Learn, Scikit-Image, Pillow, SciPy, Matplotlib, Seaborn, Plotly, Bokeh, Statsmodels
- Supervised Learning: Prophet, NeuralProphet, Large Language Models, CNN, RNN, Decision Trees, SVM, K-Nearest Neighbors, SARIMAX
- Unsupervised Learning: K-Means, DBSCAN, Fuzzy C-means, Linear Discriminant Analysis
- Soft Skills: team player, business acumen, critical thinking, detail-oriented, adaptability, creativity, project management, empathy, self-developement
Languages
Greek
Native language
English
Proficient
C2
French
Advanced
C1
Portuguese
Elementary
A2
Timeline
Data Scientist - Siemens
10.2022 - Current
Junior Data Scientist - Siemens
02.2022 - 09.2022
Junior Data Scientist - Sentio Solutions
11.2019 - 06.2020
Data Science Intern - Sentio Solutions
08.2019 - 10.2019
National Technical University of Athens - Master of Science, Electrical and Computer Engineering
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