Chin Hei Woo
Data Engineer @Deloitte
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WORK HISTORY
Data Engineer @Deloitte
London, GB
As a Data Engineer at Deloitte, my responsibilities include:• Extracting and processing financial data from client systems using in-house tools.• Creating Automated Data pipelines using Azure Synapse • Collaborating with analytics teams to deliver accurate data for reporting.• Utilizing SQL for data manipulation and querying.• Tracking tasks and projects through Azure DevOps.
EDUCATION
Shatin. Tsung Tsin Secondary School
High School Diploma
The University of Manchester
Bachelor of Science - BS
ABOUT CHIN HEI WOO
As a driven student pursuing a degree in Information Technology Management for Business at the University of Manchester, I bring a strong focus on analytical problem-solving, teamwork, and data-driven insights. My role as a Financial Data Engineer at Deloitte allowed me to apply these skills in real-world settings, where I analyzed financial data for major clients across industries like retail, energy, and banking. Working closely with senior auditors, I contributed to the development of audit reports by ensuring the accuracy and compliance of data with IFRS and GAAP standards. This experience honed my technical and analytical abilities, while reinforcing my skills in collaborative problem-solving and cross-functional teamwork.In addition to my placement, I have participated in numerous academic projects, including a Procter & Gamble data analysis competition. In this project, my team analyzed customer service data to create actionable insights and change management strategies, ultimately securing second place. This experience strengthened my ability to interpret complex datasets, communicate findings effectively, and work cohesively with a team under tight deadlines.Outside the classroom, I am passionate about applying analytical thinking in areas like investing and GTO (Game Theory Optimal) poker. These interests have further refined my quantitative skills and strategic mindset, preparing me for a career where data and decision-making intersect.I am actively seeking entry-level opportunities in data analytics, quantitative finance, or financial technology, where I can contribute my analytical expertise and collaborative approach. Please feel free to connect with me to discuss potential opportunities or insights—I am excited to bring my data-driven perspective to impactful teams in technology and finance.
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