Ying Huang
Summary
Results-driven Data Scientist with 3+ years of experience in data analytics, machine learning, and statistical modeling. Proficient in Python, R, SQL, Tableau, and Power BI. Strong ability to derive actionable insights from complex datasets. Currently a Business Risk Analyst at Citigroup, leading projects to enhance compliance and operational risk management. PhD in Mechanical Engineering with innovative models for multi-functional composites. Recognized for strong analytical skills and effective communication. Collaborate with cross-functional teams to implement data-driven solutions that influence strategic decision-making.
Overview
7
7
years of professional experience
Work History
Business Risk Analyst
Citigroup Global Markets Limited
01.2022 - Current
- The overall objective is to act as a strategic professional who provides, implements, and executes new BAU transformation processes to ensure appropriate adherence to firm-wide initiatives and requirements, including operational and compliance risk management programs
- Worked as a project manager to deliver various Market abuse controls to ensure appropriate risk-based global coverage of market manipulation and abuse behaviors
- Worked as Data Champion to design and update the input data queries to ensure they matched the business requirements and desired expectations were efficient, easier, and had more user-friendly functionalities
- She has worked with multiple teams to implement relevant data governance policies and data risk and control frameworks
- Provide expertise on Data Governance and Data Risk and Controls framework including design, effectiveness, performance monitoring, and self-assessment processes
- Oversight and analysis of data-related issues, tracking of ownership and target dates, and associated metrics and reporting
- Gather and synthesize metrics on existing Data Governance and Data Risk and Controls principles, policies, practices, and standards, e.g., understanding industry best practices
- Development and maintenance of the in-house SQL libraries
- Supporting the build, testing, and release management of credit risk applications
Private Tutor
Private Tutor
09.2018 - Current
- Chinese and Mathematics
Ph. D Researcher - Mechanical Engineering
Queen’s University Belfast
09.2017 - 07.2021
- A novel mathematical and statistical model augmented with qualitative and quantitative data were created to accurately capture and quantify low TRL (0-1) technologies, specifically multi-functional composites materials
- Effectively using probability method, particular possibility theory for a situation where little information regarding the uncertainty is known and the uncertainty is typically describe based on expert opinions and assumptions
- An analytical model was developed to propagate the impact effects of multi-functional composites materials for the complex aircraft system through a multi-scale model without loss of traceability
- Achievement: 1 conference papers presented, 3 journal papers published
Teaching Assistant of Mathematics
Queen’s University Belfast
09.2017 - 12.2017
Education
PhD - Mechanical Engineering
Queen’s University of Belfast
UKMSc - Advanced Mechanical Engineering
Queen’s University of Belfast
UKBSc - Mathematics
Queen’s University of Belfast
UKSkills
- Team Collaboration
- Skilled in Conference Presentations
- Git
- SQL
- Bitbucket
- DbVisualizer
- Visual Studio Code
- Anaconda
- Microsoft Office tools
- CAD software
- Statistical software
- JMP
- Origin
- Python
- R
- MATLAB
- Tableau
- SAS
- SPSS
- Quantitative Modeling
- Statistical Modeling
Teaching
- 09/17, 12/17, Teaching assistant of Mathematics, School of Mechanical & Aerospace Engineering, UK
- 09/18, Present, Private Tutor, Chinese and Mathematics, UK
Skills
Experienced in working with multi-disciplinary (multi-national) team members and industrial partners. Active in organizing/participating group/school social events., Presented research findings at international conferences in written, poster and oral form., Git, SQL, Bitbucket, DbVisualizer, Visual Studio Code, Anaconda, Microsoft office tools, CAD software, Statistical Software (JMP), Origin, Python, R, MATLAB, Tableau, SAS, SPSS, Extensive experience in building the mathematical modelling and statistic simulation.
Membershipandcommunityservice
- American Institute of Aeronautics and Astronautics, Student member, 2017-2023, 948788
- Royal Aeronautical Society, Student member, 2018-2023, 3035857
- The Institution of Engineering and Technology, Student member, 2021-2023, 1100952430
Awards
- AESSEAL Scholarship, 2018-2019, UK
- AESSEAL Scholarship, 2019-2020, UK
- Educational Awards, 2017-2018, European Office of Aerospace Research and Development (EOARD), FA 9550-17-1-0020
Publications
- Y. Huang, D. Sun, D. Soban, Assessing the Novel Aircraft Lightning Strike Protection Technology Using Technology Impact Forecasting, Journal of Aircraft, 05/20, https://doi.org/10.2514/1.C035875
- Y. Huang, D. Soban, D. Sun, Assessing the Self-Healing Technology Using Novel Technology Impact Forecasting, Journal of Aircraft, 02/21, https://doi.org/10.2514/1.C036058
References
- Dr Danielle Soban, School of Mechanical and Aerospace Engineering, Queen’s University of Belfast, d.soban@qub.ac.uk, +44 (0)2890974181
- Dr Dan Sun, School of Mechanical and Aerospace Engineering, Queen’s University of Belfast, d.sun@qub.ac.uk, +44 (0)2890974701
- Weifeng Que, Application Support Senior Analyst, Citigroup Global Markets Limited, weifeng.wayne.que@citi.com
Conferencepresentations
Y. Huang, D. Soban, Technology Impact Forecasting as A Framework for Assessment of Multi-Functional Composites, 2018 Aviation Technology, Integration, and Operations Conference, 06/25-06/29/18, Atlanta, Georgia, USA, AIAA 2018-2868, https://doi.org/10.2514/6.2018-2868
Research
- Applied Mathematics
- Mathematical Modelling in Biology and Medicine
- Statistics & Mathematical Modelling
- Financial Mathematics
- Partial Differential Equations
- Electromagnetic Theory
- Methods of Operational Research
- Multi-functional Composites
- Finite Element Analysis
- Computational Fluid Dynamics
- Fracture Mechanics
- Sustainable Transportation Systems
- Polymer Processing
- Bio-solid and Polymer Mechanics
- Manufacturing Automation & Robotics
- Lean Manufacture
- Judgmental or intuitive methods
- Extrapolation and trend analysis
- Models, Scenarios and simulations
- 09/17, 07/21, Ph. D Researcher - Mechanical Engineering, Queen’s University Belfast, 1 conference paper presented, 3 journal papers published
- 09/15, 06/17, Master - Mechanical Engineering, Queen’s University Belfast
Accomplishments
Bronze award via Citi Gratitude 2023
Timeline
Business Risk Analyst
Citigroup Global Markets Limited
01.2022 - Current
Private Tutor
Private Tutor
09.2018 - Current
Ph. D Researcher - Mechanical Engineering
Queen’s University Belfast
09.2017 - 07.2021
Teaching Assistant of Mathematics
Queen’s University Belfast
09.2017 - 12.2017
PhD - Mechanical Engineering
Queen’s University of Belfast
MSc - Advanced Mechanical Engineering
Queen’s University of Belfast
BSc - Mathematics
Queen’s University of Belfast