Caesar Wong

Software Engineer & Data Scientist

A driven and innovative software engineer with a passion for developing cutting-edge solutions utilizing AI and machine learning technologies. Transformed compliance at Societe Generale with an advanced AI tool and created a PowerBI dashboard for remote communication. Successfully applied MLOps and designed ETL pipelines at IBM. Skilled in Python, AWS, Machine Learning, and Deep Learning. Constantly seeking new challenges to grow and make an impact.

Location

Vancouver, British Columbia, CA

Email

caesar.wongw@gmail.com

Website

https://caesarw0.github.io/

GitHub

caesarw0

LinkedIn

caesar-wong

Kaggle

csarwong

Experience

Feb 2022 – Jul 2022

Software Engineer at Société Générale

Tools/Skills - Python/OCR/NER/PowerBI

Highlights

• Developed an AI recognition tool using deep learning, OCR, and NER model to parse bank broker statements, reducing manual effort for data entry by 70% for the compliance team.
• Built a PowerBI dashboard and data computation pipeline for Work-From-Home (WFH) communication surveillance.

Jun 2021 – Jan 2022

Consulting Associate at IBM

Tools/Skills - Python/Airflow/PySpark/AWS (DynamoDB, S3, Glue, EMR, Redshift)/Informatica

Highlights

• Applied MLOps to manage machine learning models and built data models for big data platform with AWS.
• Developed ETL pipelines for data migration and engaged in all project stages, including requirement gathering, implementation, and UAT.

Jun 2020 – Aug 2020

Web Developer Summer Intern at The Government of Hong Kong

Tools/Skills - PHP/HTML/CSS/Javascript/ArcGIS API/MySQL

Highlights

• Developed a web application for the internal recording system, involved in both front-end & back-end design, implementation, and testing.
• Educated non-technical clients to adapt to the new online recording system as a one-man team.

Sep 2019 – Jun 2020

Research Assistant at The Hong Kong Polytechnic University

Tools/Skills - Python/Java/Wireshark

Highlights

• Assisted in a Huawei research project on “Abnormal Mobile Traffic Detection using Machine Learning Methods: A Survey”, performing data collection, preprocessing and literature review.

Education

Sep 2022 – Jun 2023

Masters in Data Science from University of British Columbia with GPA of 3.8

Sep 2017 – Jun 2021

Bachelor in Computing from The Hong Kong Polytechnic University with GPA of 3.8

Awards

Jan 2023

3rd Place in Reshaping Retail Canadian Business Technology Competition from BOLT McGill

Languages

English

Fluency: Fluent

Cantonese

Fluency: Native Speaker

Mandarin

Fluency: Fluent

Skills

Data Science

Level: Master

Keywords:

• Python
• scikit-learn
• pytorch
• tensorflow
• opencv

DBMS

Level: Master

Keywords:

• MySQL
• postgresql
• mongodb
• SQLite
• Oracle Database

Web Development

Level: Master

Keywords:

• HTML
• CSS
• Javascript
• PHP

Interests

Sports

Keywords:

• Soccer ⚽
• Hiking 🌄

Arts

Keywords:

• Painting 🎨