Capstone project in partnership with Statistics Canada- Nowcasted three macroeconomic indicators by assessing Google Trends data- Utilized data transformation, cross-validation, and block bootstrap techniques for time series data- Implemented econometric and machine learning models to high-dimensional data of 450 predictors- Accomplished all the client requirements and presented results to analytical teams of Statistics Canada- Created an interactive dashboard to showcase the predictive analysis using dash-plotly in Pythonhttps://nowcasting-indicators-canada.herokuapp.com/

- Predicted stock returns using time series model and optimized the investment portfolio, and tested the model with simulated stock returns

- Conducted research in Portfolio Optimization and Credit Risk Management- A technical report on ‘Portfolio optimization via returns over risk ratio’ (2019)- A technical report ‘Market risk capital model using second-order conic programming approach’ 2020- A technical report ‘A model to find out the optimal lending portfolio under different climate scenarios', 2020- Prepared models to manage credit risk for Scotiabank of Canada- Coding and implementation of models on large datasets

- Taught Vector Graphics and Animation to a class of 80 undergraduate students

- Conducted research in Fuzzy Linear and Fractional Programming Problems, and Data Envelopment Analysis- Designed algorithms and published findings in professional mathematical and computational journals

- Taught Engineering Mathematics and Numerical Methods to the classes of 85, 80, and 45 undergraduate students