Loan-Default-Prediction

Healthcare-Fraud-Detection

Credit Card Fraud Detection

Anomaly-Detection-for-Tesla-Stock-Price-Data

Security-Correlation-Checking-System-Implementation-for-Stock-and-ETF

Tip-Prediction-for-New-York-Uber/Lyft-Drivers

Identify Features Affecting Consumer Choice of Different Cuisines in the US

Used statistical analysis to measure advertisement’s appropriateness and propose an advertising strategy

Built various machine learning models for banks to develop effective credit rating

Used pandas and numpy in Python to analyse timeseries pricing data

Used machine learning to analyse sonar signal data and interpret the metrics

Analysed the correlation among macroeconomic and security price using time series data analysis

Used Python to draw interactive bar chart and piechart with NYC taxi data

Used Python to visualize three different choropleth maps of looking at the Covid-19 case data in New York State

Scraped data from fidelity.com using Python, to get the latest sector performance data from the US markets, and to get the total market capitalization for each sector

Used R to construct machine learning models with a dataset of popular songs, to predict Spotify ratings based on auditory features of the songs

1. Designed the research study about the effect of Supplemental Nutrition Assistance Program (SNAP) to food security; 2. Used R to conduct simulated experiments to investigate the likely outcome.

Formulated the ESG investing framework, based to client’s company mission, resources allocation and social impact target