I'm Acitively Looking For Summer 2021 Internships in Financial Engineering/Modelling or other quantitative modelling jobs
Financial analytics and accounting
Data Science and Course work
Actively involved in Rotman Portfolio Management Competition RPMC
Here are some examples of my coding work. Click on each picture to find more!
◆ Helped propose new medical resident schedule to reduce staff utilization by 10%
◆ Built and deployed simulation model to solve outpatient congestion problem @ Providence Healthcare
◆ Performed EDA, Data Preprocessing & Naive forecasts for patient volume prediction
◆ Developed test cases for optimization model output validation
◆ Currently assisting on patient volume forecasting models for Sault Area Hospital
◆ Currently assisting on ED nurse scheduling optimization model for St Michael's Hospital
◆ Collected, Cleaned and Modified over 2-million data obtained from WRDS
◆ Performed EDA and Data Visalization to identify any potential underlying pattern
◆ Helped Build and Fine-Tuned the model with 0.997 R-squared value and 0.81 Mean Absolute Error
◆ Visualized Model Performance (histogram, heatmap, etc) for presentation and reports
◆ Collected 15 datasets on Irish public/private hospitals from European open data portal and HPO
◆ Performed Data Merging, Formatting and Cleaning to prepare each data entities
◆ Drew ER Diagram with MS Visio to visualize the structure of relational database
◆ Perform Normalization to decompose the data entities into simpler forms
◆ Worked and Implemented several famous artificial intelligence algorithms in different settings
◆ Designed & Implemented DFS, BFS, Heuristic search in the game Sokoban
◆ Designed & Implemented Constraint Satisfaction algorithms in the game Futoshiki
◆ Designed & Implemented Game Tree algorithms in the game Reversi
◆ Designed & Implemented BayesNet for probabilistic inference predictions
◆ Implemented & Improved Rectangular, Supernal method for multiobjective knapsack optimization problem
◆ Performed Data Cleaning and Modifying for real US stock data for stock analysis & comparison
◆ Implemented Fama–French three-factor model and 3-dimentional PCA model to analyze the returns of stocks
with 0.417 and 0.66 R-squred values respectively
◆ Implemented Best Subset Selection to select the most representative factors for modelling with 0.77 R-squared value
◆ Currently Working on Implementing Online Portfolio Selection (OLPS) algorithms in Python
◆ Retrieved financial data from database and financial reports of focused company
◆ Calculated financial ratios and perform detailed current/future financial positions
◆ Predicted the trend of stock prices of focused company correctly before the next quarterly report
