Hi, I'm Andrei (Andrew), a Data Scientist with a versatile background in engineering and analytics roles. I have applied my expertise across diverse industries, including:
- 📶Telecommunications: Developed tools for mobile traffic planning, optimization, and prediction.
- 🖧 Networking: Implemented solutions for software defect classification and syslog clustering.
- 💳 Consumer Banking: Built predictive models for loan default probability, improving risk management.
- 💱 High-Frequency Trading (HFT): Briefly explored trading strategy development for financial markets.
I hold a Master's degree in Data Science and an Engineer's Degree in Telecommunications. Currently, I am:
- 📈 Focusing on: Time Series Analysis.
- 🌱 Learning: Go/Golang.
- 📖 Preparing for: Official Scikit-learn Certification.
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Classical Machine Learning Algorithms Library
Description: Linear, Logistic, and Autoregression models.
Stack: C++, Boost, Armadillo. -
Local Weighted (LOWESS) Regression Filter
Description: One-dimensional LOWESS regression model.
Stack: C++, Python, pybind11. -
European Vanilla Options
Description: Call and put options pricing.
Stack: C++, Python.
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I occasionally post and comment on
and
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Sometimes, I visit
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- Topic: Electricity Spot Prices Forecasting Using Stochastic Volatility Models
- Presentation:
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- Full Text:
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