In the team of Visa Consulting and Analytics (VCA), building end-to-end data solutions to client on card lifecycle management for issuers & Acquirers; strategic consultation for merchants. Responsible for 28% revenue target of the team, key accounts including DBS, CCBA, FUBON, Global Payments, Swire, DROO, etc.
Contributes to machine learning algorithms from CoE team: merchant matching, Persona analysis etc. Implementing localized customization for client needs.
Worked in Hong Kong crypto workstream, introduced crypto knowledge and latest development in local market for Hong Kong General Manager.
Data Engineer, Analyst Level
Accenture
06.2020 - 05.2021
Handled client's ETL Pipeline and orchestration from different datasource connections to ensure secure transformation on Azure Cloud Platform. Reduced Client data platform data abnormality by 90%, optimized query runtime by 20%.
Applied DevOps on pipeline construction with testing and deploying on SIT, UAD, Prod environment, setting IAM, RBAC, ACL simultaneously.
Designed sustainable data pipelines using various Azure tech stack, e.g. Data Factory, SynapseDB, SQL DB, Blob storage, DataBricks, Delta Lake, ADLS Gen2.
Piloted end-to-end public data project with semi-real-time weather, traffic and events data from data mining, ETL, to visualizations on OpenAPI and Government website data.
Data Analyst, Supply Analytics
Klook Travel
09.2019 - 06.2020
Completed end-to-end data science procedures to solve business questions (from Data mining, ETL, Modelling, Visualization, to Reporting).
Specialized in Competitor Analytics (Pricing, Acquisition, Content). Enhanced Supply side take rate by 20% and price adjustment process by 90%, turning it into 99% data-driven decision.
Built customizable, reusable dashboards for business users on Tableau to investigate dimensions/metrics to drill into business insights. Users reduced 80% time on creating monthly reports.
Education
Bachelor Of Engineering - Information Engineering
The Chinese University of Hong Kong
Hong Kong
2019
1st Asia Undergraduate Summit - Representative of CUHK, 2017 And 2018
National University of Singapore
Singapore
07.2018
2nd Asia Undergraduate Summit - Representative of CUHK, 2018
Hindu College, University of Delhi
India
07.2018
Skills
Fluent, well written in Cantonese, English, Mandarin
Experienced in Python, R, C#
Experienced in Azure Data Factory, Databricks, DevOps
Experienced in Machine Learning Libraries: Keras, Sklearn
Experienced in Visualization Libraries: Dash, Plotly
Experienced in Microsoft Word, PowerPoint, Excel
Experienced in Tableau Desktop, Prep, Server and PowerBI
Experienced in GCP CE, Cloud SQL, BigQuery, Dataproc
Experienced in Data Scrapping/Automation Libraries: Scrapy, BeautifulSoap, Selenium
Previous Projects
Final Year Project - Machine Learning in Foreign Exchange
Applied recurrent neural networks (LSTM), AutoEncoders in FX market prediction (Focusing on EUR/USD, GBP/USD, JPY/USD), optimized model performance by Genetic Algorithm.
Investigated pairs trading and correlation analysis on different currency pairs, back test 4 years data to proof beating fundamental strategies like SMA cross, BBand Strategy etc.
Timeline
Data Science Assistant Manager
Visa Consulting & Analytics, Visa Inc.
06.2021 - Current
Data Engineer, Analyst Level
Accenture
06.2020 - 05.2021
Data Analyst, Supply Analytics
Klook Travel
09.2019 - 06.2020
Bachelor Of Engineering - Information Engineering
The Chinese University of Hong Kong
1st Asia Undergraduate Summit - Representative of CUHK, 2017 And 2018
National University of Singapore
2nd Asia Undergraduate Summit - Representative of CUHK, 2018