Karen Chow

3 years of Data Analysis work and 2 years of start-up experiences. Currently a Co-Founder of STEPS, a Web3 platform running on the existing Base blockchain with its own tokens using smart contracts based on ERC20/721 standards. We also build a DApp 'gotake.io' which is a Web3 video sharing tool, achieving win-wins for all stakeholders through tokenization.

Responsible for the end-to-end product lifecycle for DeFi/Wallet ecosystem with tokenomics design. Data Analysis work including designing data pipelines and predictive models for fintech, energy trading, and Web3 ecosystems. Built data pipelines and forecasting models (LSTM, XGBoost) achieving measurable improvements in model accuracy, operational savings and impactful business insights.

Product Lead at STEPS (2024-12 – Present)

Web3.0 Start-up

• Owned and oversaw major use case, provide clear guidance on DApp integration and tokenomics to users
• Created key user journey maps, personas, major pain points to drive user-centricity and guide development team
• Drive data-driven culture by running A/B tests on onboarding funnels
• Managed full product lifecycle from ideation to launch for proprietary token ecosystems
• Designed and documented end-to-end IT architecture for a DeFi entertainment platform on Base blockchain
• Authored whitepaper sections on tokenomics and data architecture
• Built on-chain transaction flow diagrams, tracking of wallet interactions, token purchases, and user journey maps

Teaching Assistant at University of Hong Kong (2025-09 – Present)

Part-time

• Teaching Assistant for courses on Machine Learning in Trading and Finance, Web3 Smart Banking and Innovative finance at MSc level

Associate at Ankura Consulting Limited (2024-06 – 2024-11)

Contract

• Managed sensitive conversation data for multinational tech client on insider investigation matters
• Collected and analyzed client communications data for potential insider trading activities

Senior Data Engineer at Ernst & Young (2022-06 – 2023-11)

• Owned the visualization tools for audit analytics across £50M+ financial datasets, aligning engineering deliverables with critical KPIs
• Partnered with client stakeholders to refine user stories and project milestones, improving audit product efficiency
• Coached juniors and drove execution on SLAs, enhancing B2B delivery timelines by more than 20%

Software Tester at Thales (2021-10 – 2022-04)

Contract

• Executed 200+ integration and regression test cases on SCADAsoft systems for critical infrastructure
• Configured Modbus/IEC104 interface simulators and validated interoperability across 8 underground stations (fire alarm, power systems)
• Maintained Git version control repositories, improving release traceability by 40%

Data Scientist at CISC Limited (2021-06 – 2021-12)

Part-time

• Analyzed social media posts to determine potential abnormal activities, e.g. selling of faked goods or copyright infringed goods
• Techniques used include supervised learning (e.g. Random Forest) and unsupervised learning (e.g. auto-encoder)

Data Scientist Intern at CLP Holdings Limited (2020-11 – 2021-10)

• Developed predictive baseline models for wind farm asset using hybrid ML algorithms (LSTM, XGBoost), improving forecast accuracy by 18%
• Conducted short-term load forecasting on electricity consumption data (1M+ records), producing actionable demand-response insights
• Utilized dimensionality reduction (PCA) to isolate top 5 predictive features, reducing model complexity by 40%
• Built RESTful API-based web scrapers with success/error logging, automating 100% of daily data ingestion
• Presented analytical results and dashboards to senior executives, influencing data-driven operational planning

M.Sc in Computer Science (Financial Computing) – University of Hong Kong (2020)

Graduate Diploma in Informatics – City University, London (2019)

B.Sc (Hons) in Pharmaceutical Sciences – University College London (2018)

Professional Certificate in Digital Marketing – Imperial College Business School (2026)