ABOUT

📃My Resume

📊 What I Do

I specialize in:

• Data Cleaning and Transformation: Ensuring data integrity and preparing datasets for sophisticated analysis by employing best practices in data wrangling.
• Data Analysis and Visualization: Leveraging tools like Power BI, Tableau, and Python to turn complex data into clear, actionable insights, improving decision-making processes.
• Machine Learning, AI, and Generative AI Development: Applying machine learning models and generative AI technologies, such as language models and transformers, to solve real-world problems in areas like natural language processing, SQL automation, and predictive analytics.

🎓 Education

• Master of Data Science (GPA: 4.23/4.33)
  University of British Columbia (Vancouver, BC)
  Sep 2023 – Nov 2024
  Relevant Course: Statistical Inference and Computation, Spatial and Temporal Models, Supervised Learning, Unsupervised Learning, Data Visualization, Algorithms and Data Structures, Collaborative Software Development, Databases and Data Retrieval, Web and Cloud Computing

• Public Economics (Exchange Program) (GPA: 3.7/4.0)
  University of California Berkeley (California, United States)
  Jul 2021 – Aug 2021

• Master of Science in Economics (GPA: 86.7/100)
  Huazhong University of Science and Technology (Wuhan, China)
  Sep 2020 – Jun 2023

• Bachelor of Science in Economics (GPA: 88.63/100)
  Central China Normal University (Wuhan, China)
  Sep 2016 – Jun 2020

🛠️ Capstone Project

Illuminex AI, Data Scientist

Apr 2024 – Jun 2024
• Developed an object detection pipeline using Faster R-CNN, YOLOv8, and RetinaNet, achieving a 60% mAP for bird strike mitigation at Chengdu Shuangliu Airport, surpassing the previous best of 49.5% mAP.
• Pioneered synthetic data augmentation with airplane images, enhancing model realism and boosting predictive accuracy in complex airport environments.
• Managed large-scale datasets on AWS, optimizing models for real-time, high-speed processing, and supporting robust validations. Awarded “Best Talk” in the Master of Data Science program for effectively communicating these complex data insights.

💼 Work Experience

Beijing Academy of Social Sciences

Data Analyst Intern

Sep 2019 – Feb 2020
• Optimized MySQL database queries, reducing page load times by 15% and increasing data retrieval speed by 20%, enhancing user experience.
• Analyzed over 20,000 records to uncover critical insights, leading to a 12% improvement in student engagement metrics and directly influencing educational program enhancements.
• Developed and presented detailed reports and dashboards to senior leadership, highlighting KPIs and trends, which facilitated data-driven decisions and increased operational efficiency by 10%.

Deloitte

Audit and Assurance Department Intern

Jul 2019 – Aug 2019
• Performed financial analysis on major corporations, including Guangshen Railway Co., increasing the accuracy of financial assessments by 20% through data analysis of over 5,000 data points using Python.
• Conducted data audits and drafted 15+ financial reports using Power BI, creating clear data visualizations that improved report clarity and reduced review time by 30% for senior stakeholders.

Zhongshan Securities

Investment Banking Management Headquarters Intern

Apr 2019 – Jun 2019
• Conducted valuation and financial modeling, achieving a 90% accuracy rate in valuation premiums by analyzing growth rates, profitability, and competitive advantages.
• Streamlined due diligence processes by 20%, performing in-depth financial analysis and capital structure evaluations, resulting in faster and more informed decision-making.

Agricultural Bank of China

Risk Management Department Intern

Jul 2018 – Aug 2018
• Applied machine learning techniques to analyze over 4,000 loans, improving customer ratings and risk assessments accuracy by 10%.
• Collaborated with the risk management team to integrate machine learning insights into financial models, enhancing the accuracy of risk predictions.

❤️ Volunteer

Rural Education Empowerment Plan

Jan 2017 - Dec 2018

• Contributed to the design and implementation of a 1+1+1 educational model, pairing 502 rural teachers with university students for mutual learning, supporting both online research and practical training sessions.
• Supported the development of a 1+X team management model aimed at systematic volunteer management, which expanded the reach to over 600 volunteers and enhanced educational support for 20 primary schools.
• Assisted in establishing partnerships and negotiating with stakeholders such as non-profits and tech companies to secure crucial funding of $29,000, contributing to the project’s sustainability.
• Aided in the development of a comprehensive training program for rural teachers, incorporating ICT tools to facilitate collaborative lesson planning, mixed-mode teaching, and active learning strategies such as flipped classrooms, contributing to an internet resource library for rural education.
• 🏆 Recognized with the 🥇Gold Award in the Fourth ‘Internet+’ University Students Innovation and Entrepreneurship Competition, Hubei Province.
• 🏆 Honored with the 🥇Gold Award in Hubei Province and the 🥈Silver Award in the 2018 “China University Students’ Entrepreneurship Competition Innovation and Entrepreneurship Cup” National Competition.
• 🏆 Awarded the 🥇Gold Award in Hubei Province and the 🥈Silver Award in the 2018 China Youth Volunteer Service Project Competition, Nationwide.

🌟 Achievements and Skills

• Data Visualization: Created visualizations that reduced report review time by 30%, leveraging tools like Tableau, Power BI, and Python libraries.
• Generative AI Integration: Designed and implemented generative AI solutions, including natural language-to-SQL translation, to enhance decision-making efficiency.
• Efficiency Improvements: Streamlined data analysis processes, reducing preparation time by 25% through optimized workflows and automation.
• Insight Generation: Specialized in transforming complex datasets into actionable business intelligence, driving informed strategies and decision-making.