I am a results-driven data scientist with extensive experience in product development, data science, and machine learning. I have a proven track record of delivering high-impact solutions through strategic analysis, experimentation, and data-driven insights. Skilled in leading cross-functional teams, I enjoy driving projects from conception to deployment and have contributed to open-source projects as well as published research in esteemed scientific journals. Currently, I lead the analytics and risk strategy segment at Binance, focusing on protecting users from fraudulent activities in the Web3 space. I have also worked at ByteDance, safeguarding TikTok against financial fraud, and at Yara Digital Farming, developing innovative solutions for smallholder farming. My approach blends advanced analytics with robust model-based methodologies to deliver impactful outcomes and drive innovation in the field.

Kenneth Ho

I am a results-driven data scientist with extensive experience in product development, data science, and machine learning. I have a proven track record of delivering high-impact solutions through strategic analysis, experimentation, and data-driven insights. Skilled in leading cross-functional teams, I enjoy driving projects from conception to deployment and have contributed to open-source projects as well as published research in esteemed scientific journals. Currently, I lead the analytics and risk strategy segment at Binance, focusing on protecting users from fraudulent activities in the Web3 space. I have also worked at ByteDance, safeguarding TikTok against financial fraud, and at Yara Digital Farming, developing innovative solutions for smallholder farming. My approach blends advanced analytics with robust model-based methodologies to deliver impactful outcomes and drive innovation in the field.

Available to hire

I am a results-driven data scientist with extensive experience in product development, data science, and machine learning. I have a proven track record of delivering high-impact solutions through strategic analysis, experimentation, and data-driven insights. Skilled in leading cross-functional teams, I enjoy driving projects from conception to deployment and have contributed to open-source projects as well as published research in esteemed scientific journals.

Currently, I lead the analytics and risk strategy segment at Binance, focusing on protecting users from fraudulent activities in the Web3 space. I have also worked at ByteDance, safeguarding TikTok against financial fraud, and at Yara Digital Farming, developing innovative solutions for smallholder farming. My approach blends advanced analytics with robust model-based methodologies to deliver impactful outcomes and drive innovation in the field.

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Experience Level

Expert
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Expert
Expert
Expert
Intermediate
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Work Experience

Lead Data Scientist (Risk) at Binance
July 1, 2024 - Present
Lead the analytics and risk strategy segment focused on protecting users from fraudulent dApps and malicious tokens. Designed risk rules improving coverage of risky domains by 20% and fake tokens by 16%, preventing losses of 2m USD. Spearheaded the analytics layer, designing metrics for risk mitigation and monitoring. Developed risk strategy lifecycle processes and improved operational case resolution time by 20% through automation and dashboard development.
Senior Data Scientist (Risk) at ByteDance, TikTok
August 31, 2023 - July 31, 2025
Managed refund risk and anti-money laundering initiatives for TikTok Live, significantly reducing refund rates and intercepting fraudulent withdrawals. Built anomaly detection models to uncover money laundering networks with over 2m USD inflow. Advanced sequential risk models using explainability techniques, improving fraud behavior explanation by 50% and halving model training time. Developed debugging tools and streamlined rule creation workflows.
Senior Data Scientist at Yara International, Yara Digital Farming
October 31, 2021 - July 31, 2025
Led data strategy initiatives promoting automation within the data team. Delivered end-to-end projects including crop market price forecasting, crop defect identification using computer vision, and internal data science toolkits. Innovated soil analysis using smart device images (patent pending). Managed capacity planning, people management, and designed standardized hiring processes for interns.
Data Scientist at Dentsu Aegis Network, Global Data Innovation Centre
December 31, 2019 - July 31, 2025
Led real-time bidding optimization for advertising campaigns, improving cost per acquisition by up to 40%. Developed data mining features for media planning tools and optimized multi-channel attribution models to reduce training time by 70%.
Data Scientist Intern at Cresco Data
April 30, 2017 - July 31, 2025
Built baseline algorithms for e-commerce product classification, increasing precision from 70% to 90% through feature extraction and advanced modeling.
Lead Data Scientist (Risk) at Binance
July 1, 2024 - Present
Lead the analytics and risk strategy segment focusing on protecting users from fraudulent dApps and risky tokens in the Web3 space. Developed risk rules using on-chain data, improving coverage of risky domains by 20% and fake tokens by 16%, preventing losses of 2 million USD. Spearheaded the team's analytics layer from scratch, designed metrics for risk mitigation and monitoring, and optimized operational process reducing case resolution time by 20%. Developed risk strategy lifecycle to ensure safe and impactful releases from a risk perspective.
Senior Data Scientist (Risk) at ByteDance, TikTok
August 31, 2023 - July 31, 2025
Focused on minimizing refund fraud and countering money laundering within TikTok Live. Developed near real-time dashboards to detect anomalous streaming patterns, preventing around 50k USD in withdrawal attempts daily. Reduced refund rates from 10% to 2% through proactive diagnostics. Built anomaly detection models to uncover money laundering networks with multi-million USD flows. Advanced sequential models with explainability techniques achieving 50% explanation of fraudulent behaviors and halved model training time. Improved risk investigation workflows by streamlining rule creation and centralizing fraud factors.
Senior Data Scientist at Yara International, Yara Digital Farming
October 31, 2021 - July 31, 2025
Led end-to-end data science projects focused on smallholder farming solutions including crop market price forecasting, crop defect identification using deep learning, and smart device-based soil analysis. Developed data strategy initiatives promoting automation and upskilling within the team. Innovated a patent-pending soil analysis solution using edge detection and clustering techniques. Managed capacity planning and designed hiring processes for interns.
Data Scientist at Dentsu Aegis Network, Global Data Innovation Centre
December 31, 2019 - July 31, 2025
Led a project optimizing real-time bidding strategies on multiple ad exchanges, improving cost per acquisition by up to 40%. Developed insight extraction features for software aiding media planning. Optimized multi-channel attribution deep learning models, reducing training time by 70%. Worked on data mining, event identification, and advanced analytics to enhance marketing effectiveness.
Data Scientist Intern at Cresco Data
April 30, 2017 - July 31, 2025
Built a baseline product classification algorithm for e-commerce taxonomies based on product descriptions, improving machine learning precision from approximately 70% to 90%.

Education

Bachelor of Science at National University of Singapore
August 1, 2012 - July 31, 2016
Bachelor of Science at National University of Singapore
August 1, 2012 - July 31, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Agriculture & Mining, Media & Entertainment