- 😄 I am an enthusiastic, intellectually curious, data-driven & goal-oriented continuous learner with problem-solving strengths in machine learning and data analysis.
- 🔭 Currently I work as a Data Scientist at EF Educational Tours, where I build product recommenders and work with RAGs and LLMs for question answering and providing custom recommendations.
- 🔭 Previously, I worked as a Data Scientist at Migros Online, where I built models for customer lifetime value and detected at-risk-of-churning customers.
- 🔭 Before that I worked as a Data Scientist in Health Canada's Compliance and Risk Management Strategies group, in the Regulatory Operations and Enforcement Branch (ROEB).
- 🏫 Previously, I was a Graduate Researcher & Teaching Assistant at Carleton University and a member of the Software Analytics research lab.
- 🎓 M.Sc. with Specialization in Data Science from Carleton University.
- 🎓 B.Sc. Honours in Computer Science, Minor in Data Science from the University of British Columbia Okanagan.
- 🤖 Find out more about my professional life by visiting my Web-Portfolio.
- 💬 Ping me about anything machine learning / data science related.
- 📫 How to reach me: LinkedIn | Personal Website.
- ⚡ Fun fact: I was featured in Carleton University's Eureka! magazine, on page 29. A LinkedIn post about my article can be found here. The article was featured on Carleton University's official Instagram and LinkedIn page as well.
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Migros Online
- Zürich, Switzerland
- https://norberte.github.io
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Statistical-Consulting
Statistical-Consulting PublicSTAT 400 Project in Statistical Communication and Consulting
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M.Sc_Thesis_Dissertation
M.Sc_Thesis_Dissertation PublicMy Master of Computer Science - Specialization in Data Science Thesis Dissertation titled 'Cross-Platform Software Developer Expertise Learning' at Carleton University, 2020.
TeX 1
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Mining-StackOverflow-Github
Mining-StackOverflow-Github PublicPart of my Master's thesis project on developer expertise learning by mining Stack Overflow (SOTorrent) and Github (GHTorrent) data
Jupyter Notebook 2
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F1-TurkishGP-analysis
F1-TurkishGP-analysis PublicAnalyze all previous F1 Turkish GP race lap times, and visualize race pace trends across different years (2005 to 2011) for all current constructors.
Jupyter Notebook 4
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F1-End-of-Stint-or-NOT
F1-End-of-Stint-or-NOT PublicBuilding a binary classifier that given a sequence of lap times will predict if a pit-stop will happen in the next lap or not.. in other words I call this project End-of-Stint-or-NOT
Jupyter Notebook
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DS_professional_development
DS_professional_development PublicThis is a repository containing some of the Jupyter notebooks that I work to continuously learn more Data Science and Machine Learning.
Jupyter Notebook 1
If the problem persists, check the GitHub status page or contact support.