Sasha Tin

I’m a Graduate Data Scientist and Financial Analyst with an interdisciplinary foundation in Applied Mathematics and Computer Science, and I’m driven by turning data into reliable forecasts and actionable insights. I was a recipient of the competitive Tinkoff Scholarship for academic excellence and standout performance in mathematics, programming, and data analysis.

My experience includes internships in the Russian banking sector, where I developed and optimized ETL pipelines for large-scale financial data, refactored SQL queries to improve load performance, and built interactive BI dashboards using Tableau and Power BI. I’ve worked closely with financial datasets to make them more usable, faster to load, and easier to interpret.

I also designed a hybrid LSTM + transformer-based NLP model for financial forecasting, integrating real-time news sentiment analysis to boost predictive accuracy. I hold multiple peer-reviewed publications in IEEE and ICECIE on AI and deep learning applications, and I’m now actively seeking a fully remote Data Scientist / Data Analyst role in an international product company or fintech startup.