Xintong Li Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

• Leading and designing revenue growth projection project through complex data understanding and wrangling in Python, enhancing the accuracy of base rates in company valuations using multivariate regression models.
• Building ETL pipeline to extract financial time series data from Refinitiv and loading the cleaned data into AWS RDS after transforming the data into non-time-series features.
• Researching ways to implement document understanding language models such as LayoutLMv2 for extracting key financial indicators from company earning reports.

Markham, Ontario, Canada

• Implemented Deep Convolutional Generative Adversarial Networks (DCGANs) using Tensorflow Keras library to generate photos of unique anime characters.
• Coded and modified Residual U-blocks with different depths in PyTorch to efficiently implement U-squared Network for inferencing AI-generated human portraits.
• Built, compiled, and trained the CycleGAN using Tensorflow to convert landscape photos into Monet-esque paintings by enforcing Cycle Consistency Loss.
• Deployed containerized AI applications by creating docker images from repositories containing model architectures and trained weights.

Markham, Ontario, Canada

• Contributed to the design of a novel method for group-summarised adversarial attack on vision models such as ResNets.

- Built a Machine Learning project in Python to predict auto insurance policy churn for a 12-month performance window with a curated model design and target definition.- Prepared >10M rows of train/validation/test data in Microsoft SQL by understanding and cleaning raw data with >500 features on the driver, policy, and VIN level.- Performed feature.

Hamilton, Ontario, Canada

- Held independently virtual live labs for Stats 2B03 (Statistical Methods for Science), answering student questions and providing guidance on the use of R for the course.- Helped facilitate and aid in the Math Help Centre, resulting in effective assistance and communications with first-year Math & Stats students.

- Identified key data sources on Canadian real estate from regional real estate boards, CMHC, etc., assisting in building a robust data bank to support activities in the economic development office.- Analyzed residential and non-residential markets using reports from various sources (CBRE, JLL, Colliers, etc.); Used Excel and Python to analyze data and.

Master Of Science - Ms, Statistics

Bachelor Of Science - Bs, Mathematics And Statistics (Statistics Sub-Plan & Co-Op)

High School Diploma, 97.2

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