Hi, I'm Wenjie Wu. I come from Chengdu, the hometown of pandas. I am experienced in financial research and Business Intelligence & Data analysis.I leverage AI, data visualization, and strategic analysis to deliver business value and solve ESG/sustainability problems.


If you'd like to know more about my career journey, let's get started.

Table of contents 
Self-Introduction Video1
Project Showcase2
Professional Experience3
Easter Eggs!4

Self-Introduction Video


As both the methodology and system owner, I collaborated with cross-functional teams to research Asian markets and contributed to delivering valuable data insights to stakeholders, which resulted in an impressive rise in ROI, an increase in subscribed users, and drove revenue growth. For example:• Sustainability risk & oppertunity.
Cybersecurity risks affect information technology companies, fraud is a major concern in the financial sector, and labor safety issues are critical in manufacturing. Legal risks, such as the impact of significant events, can severely damage a company’s reputation, result in fines, and affect its debt repayment capabilities. Meanwhile, policy support and technological innovation will create new opportunities and open up new markets. Clean energy, green buildings, and green bonds are expected to generate long-term, high-return benefits.
• Strategic arragement.
Expanding new business lines, building new factories, and developing new products—such agreements reflect strong expectations for future returns. Unstructured data beyond these fundamental factors is increasingly attracting investors' attention.
• Private companies' data.
China's non-listed company VC scale grew to 379.7B yuan in 2022 and is expected to hit 641.7B by 2027. Key areas of focus for venture capital include details on each round of capital increases, changes in equity structure, and expected listing timelines, bringing a significant return on investment.

TikTok_Project is about using machine learning to classify each content as a claim or opinion.• It's very important to identify videos that break the terms of service. The worst case for a claim that's misclassified as an opinion is that the video does not get reviewed and it violates the terms of service. So it's more important to minimize false negatives.
• The random forest (RF) and XGBoost model—performed exceptionally well. The RF model had a better recall score (0.995) and was selected as champion.
• Then, we can determining whether a video contains a claim or offers an opinion can reduce the backlog of user reports and prioritize them more efficiently.

Bill integrate product prototype(Axure).
• Assume that customers want to track their consumption habits, integrate various bills, and provide consumption trend analysis, which can ultimately bring commercial value success to stakeholders.


(1) From 2021 to 2025, I developed 17 projects related to finance and ESG data at Morningstar.

(2) From 2019 to 2021, I studied for a Master's in Finance at Drew University and visited Wall Street...

(3) From 2011 to 2019, I obtained my bachelor's degree and gained practical experience in the real estate industry.


Thank you for watching until the end. I love helping others and maximizing their impact, and I will continue my journey. Wishing you and your family good health.