Panos Soilis
Data Analytics Manager
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolPanos Soilis is a Data Analytics Manager based in Berlin with eight years of experience building product-focused analytics and behavioral data platforms. He leads cross-functional teams that combine analytics, data engineering and product to turn front-end tracking into high-impact business insights, recently driving a migration from GA4 to a first-party Snowplow setup to improve governance and data quality. Equally comfortable as a hands-on analyst and a people manager, he splits time between mentoring, hiring and delivering ETL, A/B testing and growth analyses. His background spans eCommerce, retail and tech (Zalando, HelloFresh) and includes an MSc in Computer Science (Data Science) from TU Delft, which underpins a strong technical fluency with Python, SQL and Databricks. Not obvious from his title: he has a track record of optimizing operational processes (e.g., automation that cut maintenance time at Plaisio by 30%) and brings an end-user analyst perspective to engineering decisions.
8 years of coding experience
7 years of employment as a software developer
BSc Management Science & Technology, Specialization: Quantitative Methods in Finance, 8.64/10, BSc Management Science & Technology, Specialization: Quantitative Methods in Finance, 8.64/10 at Athens University of Economics and BusinessErasmus Exchange Student, International Business Administration, Erasmus Exchange Student, International Business Administration at University of ViennaMSc Computer Science, Specialization: Data Science & Technology, 8.14/10, MSc Computer Science, Specialization: Data Science & Technology, 8.14/10 at Delft University of Technology
Greek, English, German, Chinese, Dutch
Github Skills (9)
pytorch10
convolutional-neural-networks10
deep-learning10
python5
retrieval2
nlp1
information-retrieval1
corenlp1
natural-language-processing1
Programming languages (1)
Github contributions (5)
kPsarakis/Image-Forgery-Detection-CNN
May 2019 - Jun 2019
Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
Contributions:35 commits, 30 pushes in 1 month
convolutional-neural-networksdeep-learningpytorchimage-forgery-detectioncnn
psoilis/SECA
Aug 2020 - Jan 2021
Contributions:10 commits, 5 pushes, 1 branch in 5 months
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