PharmaSights offers highly-curated commercial insights for biopharma strategists, BD&L teams, and investors through innovative tools like Market Scanner and Pipeline Scanner, visualizing global drug landscapes and clinical pipelines to identify commercial opportunities. Website: http://www.pharmasights.com• Conducted comprehensive market research and analyzed leading companies in the pharmaceutical industry, providing strategic insights and identifying growth drivers.• Led the development and optimization of the PharmaSights market intelligence platform, enhancing client operations and database accuracy.• Collaborated closely with marketing, product, and data teams to implement new processes and support strategic initiatives.Provided ongoing support to clients, ensuring platform efficiency and helping them achieve their goals.

77Books is a social networking account on Weibo.com aiming to connect novel readers. It has 367,000+ followers and 80M pageviews per month. Social Media link: https://weibo.com/u/5808505630 • Led 4-person team to design and build MVP that revolutionized book category searches for users based on their preferences, leading to an 86% increase in user engagement and a 30% reduction in search time. • Built and automated data analysis daily, weekly, monthly on overall performance using Python, allowing for trending user readings; analyzed data to determine the effects of update frequency, increasing 35% in customer satisfaction. • Orchestrated cross-functional teams across engineering and marketing; increased the daily update frequency; updated the existing modules of the account; established a fan-base group chat; designed lottery activities, achieving an 84% increase in pageviews monthly and 926% increase in the total number of followers.

• Conducted market research by fetching data using APIs, calculating stock valuation, and comparing selected stocks to their peers. Made informed investment decisions based on the research, resulting in a 3% increase in portfolio returns.• Automated the entire stock valuation process and utilized Python and Excel to apply Modern Portfolio optimization, providing investment recommendations for Top 10 IT companies in Canada, winning 7 new clients.

• Streamlined the daily news collection process using Python, resulting in a 28% reduction in man-hours.• Defined key investment metrics and used Python and Tableau to visualize data at fixed time intervals; provided users with valuable insights for higher investment returns, resulting in a positive uplift from 83% to 95% in user feedback.• Extracted daily financial data and applied Time-Series analysis to effectively predict bid increases, enabling data-driven investment decisions and acquiring 10+ new corporate business partners monthly.

• Performed exploratory financial-data analysis of Asian Sci-Tech companies using R and Excel and informed critical insights and future sales strategies, leading to sale performance increased by 2%.• Generated NPL-ratio financial reports for target companies in China; showcased the NPL index by Tableau; optimized report generation using SQL and R, resulting in a 30% reduction in total report render time.

• Utilized Python and SQL to conduct analysis reports and visualizations of user activity data to assist the marketing department in making real-time decisions, improving time efficiency by 20%.• Created blind advertisements with articles to promote three new advertisers, proposed A/B testing to increase user engagement, and generated 2 million reading in 2018, boosting brand awareness and revenue.

• Identified FDA quality passing rate for new pharmaceutical products; conducted data analysis for laboratory experiments; raised statistical classifications output sensitivity, enhancing quality passing rate from 5% to 9.5%.