About
On the record
As a Senior Data Scientist at AOX Trade, I manage a team of analysts who predict the energy market by utilizing large amounts of historical and live data. I develop cutting-edge real-time-inference ML models, such as boosting and transformers. I have also created a bespoke MLOps platform, streamlining and universalizing the data processing and engineering workflow while enabling rapid and efficient model creation to forecast time series by using input data of any kind. I have developed analytical and problem-solving skills throughout my path as a mathematician, having participated in and won various national and international contests. I then pursued my bachelor's degree at the nexus of mathematics, economics, and operational research at Lancaster University. Currently, I am in the final stages of completing a remote data science master's degree at Harvard University. Passionate about applying my skills to real-world challenges, I am eager to build a diverse portfolio of freelance projects to make a significant impact while continuing to grow professionally.
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