Chuhan Shen Email & Phone Number

Beijing, China

• Collaborated extensively with industry experts, conducting thorough market exploration andsynthesizing individual stock performance indicators to develop a robust set of quantified sectorrotation strategies, seamlessly integrated into product strategies for impactful deployment• Achieved rapid mastery of C++ within one week, and independently applied it to create a Linuxbased automated trading system using APIs, effectively reducing the daily trading time from 3 hours to 20 minutes, considerably elevating departmental efficiency• Employed k-means clustering to classify 4000+ A-share stocks based on economic trends,indicators, and crowd behaviours, conducting a robust cost-effective investment framework thatincorporated into product strategies and significantly enhanced market responsiveness

London, England, United Kingdom

Shanghai, China

·Created a Python scape bot to gather the price, trading volume, and other related data of CSI 300 from Tushareplatform daily.·Created my original trading signal through the news broadcast transcripts of CCTV news channel since December 1st, 2019 and set up epidemic-related keywords.·Through python, derived the number of times that epidemic-related keywords were mentioned in the news broadcast, and combined with in-depth analysis of the trading data of CSI 300, and visualized data by creating a regression model.·Calculated the win-rate, signal breath, average return and biggest drawback. Achieved a 60%-win-rate in prediction.

Hangzhou, Zhejiang, China

·Performed in-depth e-commerce market research, and collected comprehensive Amazon historical data regarding online business, financial stats, and market size.·Conducted quantitative competitor analysis, applied models (e.g. Porter's five forces) to identify pain points residing in different areas, and visualized data aggregation and distribution in the Tableau dashboard.·Provided strategic development direction of Tmall International and brought forward its next possible actions after analysis of its current market positioning.

New York, New York, United States

·Used R to clean and analyze 50K+ product data with 6 attributes: images, descriptions, title, price, category, and color; including date extraction, missing value imputation, descriptive statistics summary, etc.·Built K-means clustering to create different customers segments by creating a rating matrix, setting minimum thresholds, normalizing data, and refining the model by features selection. ·Model output supports the company-level recommendation model and improved the sales conversion rate by 9% in the accessories category.

Master Of Science - Ms, Business Analytics

Bachelor Of Science - Bs, Economics, 3.66

4.18/4.0

Activities and Societies: Founder and President of History Club. Published Book "The Lamp of Illumination". Help to establish.