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Work Background
CLPAssistant Manager, Customer Data and Science
Apr. 2023Hong Kong SAROverall objective:
Leading data analytic projects to create new business opportunities, reduce risk and develop customer centric AI strategy to increase customer experience. Act as an internal consultant to provide data solution to the company. Achievements:
1. Personalized 2M users with smart meter data and marketing data
2. Developed personalized data product embedded in App
3. Developed state of art ML model to cluster customer behaviours
4. Coach Juniors to increase coding efficiency by 40%
5. Detect suspicious customer behaviour
5. Developed a data road map with methodologies to give clear directions for juniors to execute
6. GenAI POC for personalized content
7. Impact and educate business users to adopt data analytic tools Job Duties:
1. Work directly with Director and develop data strategy and roadmap to drive the digital transformation of the company
2. Create and drive automation project, example data extraction automation machine with Python
3. Develop algorithms and ML model for forecasting, abnormality detection and clustering
4. Topic modelling for feature engineering
4. Transform data to relevant insights and provide recommendations on customer relationship and behaviour, campaign management and improve personalization. E.g. Time series clustering - customer behavior segmentation to promote personalization
5. Data warehouse and knowledge graph for customer 360
6. Project management - Data analytics/science projects
7. Research large language model studies and customer behaviour studies
8. Reinforce best practice and coach junior
9. Design experiments to discover causal factors to improve marketing targeting and keep track of the results (Define hypothesis, aim and methodologies)
10. Design and implement point reward mechanism for customer
11. Leading Gen AI project for personalized content, including building POC with LLM, LangChain and RAG.
12. Leveraging eDM data to build recommender
13. Create data pipeline
Topo Solutions - Next Level Supply Chain PlatformData Consultant
Apr. 2023 - Jul. 2023
Standard Chartered BankSenior Analyst, data analytics
Aug. 2022 - Jun. 20231. Design campaign marketing execution
2. Data extraction with SAS, SQL and Python
3. Data science project management (NLP project)
4. Communicate with internal business partners and provide data-driven solution, including data collection and user requirement collection.
5. Automating report and dashboard with Python, SQL and Tableau
6. Assist manager for reporting
7. Exploring machine learning and new technology opportunities and provide advance analytics solution
8. Collect user requirement from cross functional team
9. Program and data quality checking
Topo Solutions - Next Level Supply Chain PlatformData Analyst
Jun. 2022 - Jun. 20231. Create interactive dashboard using PowerBI (DAX, bookmarks, Power query) for clients
2. Consult with customers to provide the feasible data solution for them
3. Create data pipeline (both structured and unstructured data) using Azure Data Factory and Azure Databricks
4. Automate report process using Python and SQL
5. Statistical analysis using Python (Pandas, Numpy, Scikit-learn etc)
6. Automate business process using Python
7. Data management by validating data quality using Python
8. Project management to ensure the reports are delivered on time.
9. Suggest improvements for junior data analysts
10. Using Selenium to automate UI test
11. Using embedded PowerBI and PowerBI dataflow to create a ETL layer for the clients
12. Extract data from MongoDB and MSSQL
Standard Chartered BankSenior Analyst, data analytics
Nov. 2021 - Aug. 2022
CBES GroupData Analyst
Jan. 2021 - Nov. 2021Company background:
CBES Group is an integrated cross-border trade service provider, which consists of multiple subsidiary companies. The industries of the subsidiary companies include e-commerce and logistics.
Job duties: Business part: 1. Consulting with senior management teams, including the founder, CFO and COO to understand the corporate strategy and business strategy.
2. Communicating with different business parties and working levels to design working plans, roadmaps and SOPs.
3. Prioritize tasks by using data and metrics to back up assumptions and assertions of business value.
4. Work with CFO to prepare data point for the auditing and finance control process.
5. Advise IT development team to enhance existing systems and develop new systems for different departments.
6. Report to senior management team of business performance 7. Identify operational weakness Technical part:
1. Create data pipeline with python, extracting data from ERP API and import the data to Postgresql/Mysql.
2. Conduct data cleansing with python and advise IT team to optimize the ERP system with data input constraints.
3. Develop complex SQL query to build data warehouse.
4. Web scraping Amazon, Ebay and other e-commerce data with Scrapy and Selenium.
5. Create and automate dashboard with PowerBI for management team and other users.
6. Maintain database integrity and cleanness with creating SQL constrains. 7. Automate repetitive manual tasks with python.
8. Converting unstructured data into structured data with python.
9. Building data model with Postgresql or Mysql.
10. Collecting user requirements and data requirement and communicate with programmer in an IT manner.
11. Conducting UAT testing.
Project management:
1. Manage IT project under technology-related funding schemes under the Innovation and Technology Fund and HKSTP, which is building a CRM system.
2. Manage in-house IT projects, including building invoicing system, system enhancement projects.
GOGOXLogistics Analyst
Jul. 2020 - Jan. 20211. Summarize and communicate results effectively with stakeholders
2. Combining analysis results with real life business stories to present the result and suggesting solution to managers
3. Creating excel template and structure for teammates to use to collection useful data
4. Manage data via Postgresql
5. Data cleansing by remove or replace missing values, structure data and correct data format using Python
6. Creating dashboard by visualizing data by using tableau and Ploty in Python
7. Conducting sales analysis by using Python (Pandas, Numpy, Matplotlib)
8. Conducting customer segmentation by Python to identify customer needs, retention rate, churn rate etc.
9. Develop project scopes, plans and schedules
10. Conduct industry research to identify the market value of the project and the average cost of labours
11. Setting timeline of the completion of the project
12. System testing
13. Conducting UAT testing to ensure the ERP system is user friendly and accessible
GOGOVANOperation Executive
Sep. 2019 - Jul. 2020Hong Kong
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