Long Jiang Email & Phone Number

Shanghai, China

Shanghai, China

• Ad-hoc data analysis projects: drove insights by leveraging machine learning methods - Uncovered shared attributes among 140 cinemas by categorizing cinemas with T-SNE and KMeans clustering; identified key revenue drivers by building decision trees, facilitating the development of revenue optimization strategies - Pinpointed critical factors affecting the profitability of a pharmacy chain (over 1000 stores) by utilizing random forest and gradient boosting models; determined optimal ranges for each factor by conducting sensitivity analysis, providing insights to guide store operations• Post-deal projects: enhanced deal synergy and value through tailored digital solutions - Streamlined financial reporting for an acquired healthcare equipment company by developing a Python (Pandas and NumPy) software solution and adopting AGILE methodology to adapt to changing reporting requirements; the solution reduced reporting time by over 50% and saved over 20% in costs - Identified profit optimization opportunities for an e-commerce company by creating a PowerBI dashboard to analyze and visualize sales and cost data across multiple dimensions; provided guidance to the client on updating the dashboard for tracking monthly sales and costs, resulting in a 3% increase in profitability the following month• Due diligence projects: assessed investment opportunities by conducting operational analysis on target companies; target companies span various sectors including retail, e-commerce, maintenance, repair & operations (MRO), and electric vehicles - Facilitated client understanding of an MRO company's customer acquisition and retention strategies by validating user data of over 10,000 users in MySQL and analyzing operational data of over 4 million transactions in Python - Provided insights into the growth drivers of a retail company by analyzing the performance of its 1600 stores over a three-year period and profitability of its 3,000 products using Python and Excel

Shanghai, China

• Traded 5 to 10 funds of about 0.5 billion RMB daily and ensured the precise execution of trading strategies• Developed a Python script to automate the daily generation of fund performance report; the script efficiently gathered and processed data from trading platforms, emails, and the financial database, reducing a two-hour manual task to 10 minutes• Designed and implemented a Python-based dashboard using Plotly; the dashboard provided the middle desk with convenient access to comprehensive fund statistics, including historical daily returns, transaction records, and more

Shanghai, China

• Contributed to trading strategy performance by coding and back-testing 300 alpha strategies, and deployed Principal Component Analysis (PCA) on selected alpha signals for feature selection and modeling• Implement graph theory for stock price correlation detection and half-day reversal strategy on China A-Share market in R

Master Of Science - Ms, Applied Statistics

Bachelor Of Science - Bs, Economics And Statistics