mariyajojy2023
About Candidate
Hi, I’m Mariya, a data oriented economist with a strong foundation in macroeconomic research, machine learning, and financial modeling. Previously at J.P. Morgan, I spent 2 years collaborating with top US economists, building data pipelines, forecasting GDP/inflation trends, and automating analysis across large datasets. Now, I’m expanding my technical expertise combining the best of quantitative finance, machine learning, and coding.
Location
Location
Education
Master in finance with market finance specialization
Work & Experience
Inventoried over 1500 factory Power BI reports, partnering with cross-functional stakeholders to standardize MQEHS report categorization. Designed a Power BI analytics dashboard to monitor report adoption, usage patterns, and metadata. Automated the classification workflow using web scraping and AI models, improving processing speed by 5x with 70% model accuracy reducing manual review time significantly.
Built econometric forecasting models for the US macroeconomy using ARIMA, VAR, and regression techniques. Automated data and reporting workflows reducing analyst workload by 30-40%. Authored over 60 weekly US macroeconomic publications combining quantitative analysis with economic insights for institutional clients. Developed an LLM-driven text classification model to analyze central bank reports and predict policy rate changes with 95% accuracy, significantly improving signal extraction for monetary policy forecasts.
Developed U-NET inspired deep learning models to predict sleep disorders using patients’ respiratory signals, combining signal processing with neural network architectures and saving diagnosis time by 80%. Conducted real-world validation experiments to enhance device performance, optimizing signal quality and sensor reliability.
