Suiyao C.
Amazon Applied Scientist | Boost Your Career in AI/ML, GenAI, LLM, DS
Studied at University of South Florida
Works at Amazon
Available Friday at 12:30 AM UTC
Questions? Start chatting with this coach before you get started.
Suiyao's Coaching Offerings
Custom hourly · $150/hr
Get help with Interview Prep, Skill Building, and .
Suiyao also coaches for AI & ML Engineering and Data Science. View all.
Suiyao’s Career Coaching Qualifications
Experience level: Associate
10+ people coached for Career Coaching
Welcome to my profile! With a PhD in Industrial Engineering from the University of South Florida and extensive experience as an Applied Scientist at Amazon, I specialize in leveraging data science and machine learning to drive business success. My career journey includes leading teams to develop innovative models that have generated significant revenue gains and cost reductions. At IBM, I supported strategic decision-making through advanced analytics, and at Cigna, I optimized pharmacy claims audits with predictive modeling. Whether you're looking to break into data science or advance your career, I can provide tailored guidance to help you achieve your goals. Let's connect and create a roadmap for your career development!
Suiyao can help with:
Interview Prep
Skill Building
Career Planning
Cover Letters
Professional Networking
Resume Review
Personal Branding
Networking Strategy
Freelancing
Leadership
Salary Negotiation
Job Search Strategies
General Exploration
Suiyao also coaches for AI & ML Engineering and Data Science. View all.
About Suiyao
I'm an Applied Scientist with 6 years of experience in the tech industry and building AI/ML applications. I coach Data Scientists and MLEs to master Generative AI, ace system design interviews, and transition from research to production-grade engineering.
Why do I coach?
I coach because I enjoying coaching and problem-solving and to expand my network and learn from others.
Work Experience
Applied Scientist
Amazon
November 2024 - Present
◦ Lead a team of scientists and MLEs to built RAG-based brand detection system for query understanding with LLM-finetuning and achieve 400M+ annualized revenue gain and reduce over 80% operation cost with pipeline simplication. ◦ Drive the innovations on building generative models for agentic search experience and personalization with LLM-finetuning through SFT and DPO and outperform Clause Sonnet4.5 with 4B models for local deployment. ◦ Built generative data service with Multi-Modal LLMs for product indexing to improve search discoverability and retrieval comprehension with 600M+ annualized revenue gain. Search Engine Ranking, Query Understanding and +3 skills
Applied Scientist
Amazon
October 2022 - November 2024
◦ Designed and pre-trained a 1B-parameter Transformer-based foundation model on multi-modal customer behavior sequences, generating robust embeddings that power downstream fraud detection tasks. ◦ Built abuse risk detection models and improve AUC from 75% to 98% and recall from 50% to 80%. ◦ Developed deep tabular representation learning frameworks to facilitate automatic feature engineering and improve downstream classification models by 5% in $Recall and 10M+ savings. Unsupervised Learning, Applied Research and +5 skills
Data Scientist
Amazon
August 2021 - October 2022
◦ Designed a graph-based data pipeline to evaluate customer risk propensity through linkage message passing and deployed with 1000+ variables for worldwide coverage and 90% cost reduction after migration. ◦ Designed an automated self-service variable monitoring system for in-time monitoring with scalability and flexibility to reduce the monitor onboarding efforts from 2 months to 1 day. Computer Science, Unsupervised Learning and +4 skills
Senior Data Scientist
IBM
June 2020 - August 2021
Team: Offering and Marketing Analytics Leveraged 200K+ reviews for 1K+ products to support the strategic decision making for offering managers, sellers and marketing teams. Developed model pipeline with strategic web-scraping, sentiment analysis, topic classification using NLP and provide actionable insights. Developed graph analytics framework for product competition network analysis with exceptional visualization and explainability Team: Sales Channels Effectiveness Developed a deep dive solution on business transformation and collaborated with cross-functional teams in Finance and Global Sales. Consolidated data from various sources and performed data analysis for revenue trends and ranking under business constraints. Delivered strategies with integrated client data and structured tiering for global client segmentation and sales resources allocation. Interpersonal Skills, Applied Research and +5 skills
Research Assistant
University of South Florida
January 2016 - May 2020
Research Interests & Experiences: applied statistics, Bayesian data fusion, machine learning, big data, survival analysis, reliability and quality assurance, risk assessment, healthcare. Interpersonal Skills, Computer Science and +4 skills
Teaching Assistant
University of South Florida
January 2016 - May 2020
•Spring20 ESI6340 Probabilistic Operations Research •Fall19 ESI4606 Engineering Analytics •Spring19 EGN3443 Probability and Statistics for Engineers •Fall18 EGN3443 Probability and Statistics for Engineers •Spring18 EGN3443 Probability and Statistics for Engineers •Fall17 ESI6247 Statistical Design Models •Spring17 EIN6936 Engineering Analytics II •Fall16 ESI4606 Engineering Analytics I •Summer16 EGN3615 Engineering Economics •Spring16 EGN3615 Engineering Economics Interpersonal Skills, Computer Science and +4 skills
Data Scientist Intern
IBM
May 2019 - August 2019
Built cognitive pricing models for business consulting project and automate manual negotiation process. Led the duties of data consolidation, feature engineering, predictive modeling and price optimization, with personalized pricing guardrails and innovation on strategic values for gross profit maximization. Contributed to developing real-time pricing API in Python and interactive dashboards for stakeholders. Delivered strategic decision making plans with over $80 million expected impacts on global business. Interpersonal Skills, Unsupervised Learning and +3 skills
Data Science Intern
Cigna
May 2018 - August 2018
Built comprehensive framework of predictive modeling and decision making for pharmacy claims audit optimization project with over $22 million expected benefits in business development for the company. Applied machine learning techniques to high dimensional data with 850 columns and achieved over 84% prediction accuracy. Facilitated daily-based predictive scoring and efficient discrepancy auditing for millions of prescriptions from thousands of pharmacies in the network. Interpersonal Skills, Unsupervised Learning and +3 skills
Education
University of South Florida
Doctor of Philosophy - PhD, Industrial Engineering
2016 - 2020
Interpersonal Skills, Computer Science and +5 skills
University of South Florida
Master of Science - MS, Industrial Engineering
2016 - 2018
Interpersonal Skills, Computer Science and +5 skills
Columbia University
Master, Statistics
2014 - 2015