Wayne Chan Email & Phone Number

Hong Kong SAR

• 1. Conducted data analysis to identify operational improvement areas, thereby enhancing operational efficiency
• Used SQL and Python on Databricks and QlikView to query the data and transform the retrieved data for further data analysis
• Investigated the transformed data and KPI reporting dashboards, proposed improvement plans to business units and IT team to enhance the Straight-Through-Processing (STP) rate and reduce turnaround time (TAT)
• Collaborated with the teams to… Show more 1. Conducted data analysis to identify operational improvement areas, thereby enhancing operational efficiency
• Collaborated with the teams to successfully uplift the STP rate by 5%, demonstrating a tangible impact on operation efficiency2. Performed data visualization to enhance data transparency and provide comprehensive.
• Used Power BI to build interactive KPI reporting dashboards to detect data anomalies and draw business insights such as identifying digital adoption trends, top performers and underperformers3. Initiated reporting.

Hong Kong SAR

• Strategy & Data Analyst – Cloud and Big Data Strategy Advisory Project – Multinational Bank, Hong Kong:1. Proposed a 3-year roadmap to advise a multinational bank on migrating its systems to cloud and adopting Customer.
• Developed high-level business, cloud and big data strategy visions to define the pain points and the key directions of the… Show more Strategy & Data Analyst – Cloud and Big Data Strategy Advisory Project –.
• Developed high-level business, cloud and big data strategy visions to define the pain points and the key directions of the roadmap
• Defined cloud and big data design principles as guidelines
• Analyzed As-Is & To-Be operating model, cloud architecture and data architecture for gap analysis Business Analyst – Sourcing Digitalization and Automation Project – Global Insurer, Hong Kong:2. Conducted User.
• Prepared functional test scripts for the vendor to conduct functional testing on the digitalized sourcing platform

Hong Kong SAR

• 1. Developed a Forex 1-minute trend-following strategy and used MQL4 to build an automated trading program to execute the strategy on MetaTrader 4 (MT4), generating a 8% yearly return:
• Automatically determined the price trends and generated trading signals based on the candlestick patterns, Exponential Moving Averages (EMAs) and Average True Range (ATR) in 1-hour anchor chart and 1-minute trading chart
• Established profitable entries through trading the pullbacks towards the… Show more 1. Developed a Forex 1-minute trend-following strategy and used MQL4 to build an automated trading program to execute the strategy on.
• Established profitable entries through trading the pullbacks towards the short-period EMA
• Applied a 1:1 risk-to-reward ratio as the first profit target on 50% of each position
• Moved the stop loss level to the breakeven level and applied a 1:2 risk-to-reward ratio on the remaining 50% of each position after meeting the first profit target

Hong Kong SAR

• 1. Used Python to build an automated trading program applying Directional Changes (DC) trading strategy with Genetic Algorithm (GA) and Virus Spread Optimization (VSO) to trade on high-liquidity ETPs and stocks.
• Applied DC trading strategy to fragment and summarize the time points into upward and downward trends
• Automatically forecasted the price trends and generated trading signals based on the DC trading strategy
• Refined the trading program by… Show more 1. Used Python to build an automated trading program applying Directional Changes (DC) trading strategy with Genetic Algorithm (GA) and Virus Spread Optimization (VSO) to trade.
• Refined the trading program by optimizing the parameters through Heuristic Algorithms: Genetic Algorithm (GA) and Virus Spread Optimization (VSO)
• Performed backtesting on Tracker Fund of Hong Kong (2800.HK), HKEX (0388.HK), Tesla, Inc. (TSLA) and Vanguard 500 Index Fund ETF (VOO) respectively, yielding a 12% yearly return with a 0.59 sharpe ratio on HKEX and a.

Hong Kong SAR

1. Developed a Machine Learning model of ID card detection from photos with an accuracy of 98.7% using AWS SageMaker, thus increasing the accuracy of Optical Character Recognition (OCR) to facilitate the workflow and the speed of loan disbursement to clients2. Processed input data for the machine learning models of ID card detection, OCR and eKYC

Hong Kong SAR

• 1. Used a Python AI Deep Learning framework - Pytorch to develop a Neural Network model to perform human facial recognition tasks, winning 4th place in the Image Recognition Challenge held by HKSTP
• Adopted MTCNN to extract human faces in photos and adopted InceptionResnet to extract face features, then performed manipulation on the image tensors to do image classification2. Performed data cleansing on the KOLs’.