C

Chuanli Jiang

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Washington, United States

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Résumé


Jobs verified_user 0% verified
  • 8
    Lead Data Scientist/ AI Researcher
    84.51°Kroger
    Mar 2022 - Current (4 years 5 months)
    Joined the newly-funded Al Enablement team. Lead prototyping of Al solutions utilizing scrum methodology. Organize Emerging Al, Vision, and Bidding cross-functional bi weekly gathering of 30+ scientists/engineers/executives. Reported to the VP of Al. Managing one ML engineer and rotating interns.• Achieved 20% aROAS and 2x iROAS improvements by leading development of InFlight Ads bidding algorithm optimization on Trade Desk using autoGluon library and scaling solutions to cover 95% of programmatic campaigns, deliver multi-million dollars annual revenue since 2023; launched MediaGym multi-objective budget-allocation engine to balance competing objectives for CPG brands.• Initiated and implemented neural network algorithms in Tensorflow and P
  • N
    Part-time Lecturer
    Northeastern University, Seattle Campus
    Jan 2020 - Jan 2025 (5 years 1 month)
    Teach Master's degree evening courses at the College of Professional Studies: Intermediate Analytics, Data Mining.
  • Blueprint Technologies
    Senior Data Scientist
    Blueprint Technologies
    Jul 2018 - Jan 2020 (1 year 7 months)
    Hired after new investment in data science initiative and team. Orchestrated data science solution portfolio, data products, and product development process across cross-functional teams. Drove continuous improvement, product specification, and usability via researching client requirements and desired outcomes. Reported to the Director of Data Science.• Addressed medical clinics' no-show rates by creating predictive ML models such as gradient boosting and random forest to identify root cause and continuously optimize intervention rankings based on aggregated effectiveness.• Improved gaming ticket queue efficiency 15% and accuracy 20% by streamlining process to facilitate 1M+ daily tickets via ML algorithm such as Prophet, SARIMA, and LSTM t
  • B
    Data Scientist
    Benefits Group
    Mar 2017 - Jun 2018 (1 year 4 months)
    Hired to support new data science initiatives. Utilizing Principle Investigator research background, drove business requirements, data exploration, model building and deployment, A/B testing, and statistical evaluations. Reported to the Director of Data Science.• Reduced turnover churn 40% in six months by building predictive ML models such as regression, boosting, and random forest to identify high risk customers for effective intervention.• Served as thought partner to cross-functional teams such as Peer Mentorship, Service Design, and Training Operations to apply analytics such as campaigns communications to meet business needs.• Invited to share insights with executive leadership and board of trustees, presenting insights at national co
  • N
    Research Scientist
    NorthWest Research Associates
    Mar 2014 - Dec 2016 (2 years 10 months)
    Secured and managed a $150K NSF-funded project as Principal Investigator to refine climate projection models. Oversaw proposal underwriting, project management, numerical modeling, and business administration. Published peer-reviewed top journal papers. Reported to NSF Program Manager.• Uncovered complex non-linear relationships between climate change and its drivers by applying neural networks and ML algorithms such as self-organizing maps.• Increased knowledge of future climate change in 2035 to 2100 by investigating weather and climate historical data insights and using root cause analysis of large-scale ocean-atmosphere models to simulate future patterns.• Published findings in top journals, presented discoveries at various national/int
Education verified_user 0% verified
  • E
    Research Scientist
    Earth & Space Research, Seattle
    Jan 2011 - Dec 2013 (3 years)
    Principle Investigator
  • U
    Postdoc
    University of California, San Diego, Scripps
    Jan 2009 - Dec 2011 (3 years)
    Physical Oceanography
  • University of Washington
    Ph.D.
    University of Washington
    Jan 2002 - Dec 2008 (7 years)
    Physical Oceanography
  • M
    Machine Learning Certification
  • I
    Innovation and Leadership Certification
  • D
    Deep Learning Certification
  • G
    Generative AI: Multimodal Certification
  • E
    Engineering Leadership Certification
  • A
    AI Infrastructure & Operation Certification