Data Science Intern

• Jun 2023 - Present

Data Science Intern

• Jul 2022 - Sep 2022

1. Deployed a food recommendation system with a matrix factorization model based on customers’ past order history in Python to improve customer experience in Lexus Lounge. 2. Optimized Python code by improving the way of indexing, which reduce runtime from 2 hours to 5 minutes. 3. Performed model tuning by Area Under Curve (AUC) and reached an accuracy of 73% on the test dataset. 4. Constructed ETL processes using Azure Data Factory. 5. Achieved 1st place among 18 interns in the competition for innovative proposals. Show less

Valuation Intern

• Jun 2021 - Jun 2022

1. Utilized OracleSQL to manipulate over 2 million rows of data per day from more than 5 tables. 2. Constructed 150+ actuarial models to predict the cash flow of insurance products and meet reporting requirements. 3. Validated actuarial models by producing parallel Excel models for cash flow reconciliation. 4. Collected information from 200+ documents to help the launch of IFRS17. 5. Completed Excel templates to improve efficiency, saving 50% of the time to find the reasons for bias. 1. Utilized OracleSQL to manipulate over 2 million rows of data per day from more than 5 tables. 2. Constructed 150+ actuarial models to predict the cash flow of insurance products and meet reporting requirements. 3. Validated actuarial models by producing parallel Excel models for cash flow reconciliation. 4. Collected information from 200+ documents to help the launch of IFRS17. 5. Completed Excel templates to improve efficiency, saving 50% of the time to find the reasons for bias.