Weijing Penny Xu
About
Weijing Penny Xu is from 旧金山湾区. Weijing works in the following industries: "互联网", and "高等教育". Weijing is currently Product Manager at ShopStyle, located in San Mateo, California, United States. Weijing also works as Associate Product Manager at ShopStyle, a job Weijing has held since Dec 2019. In Weijing's previous role as a Product Management at Rakuten, Weijing worked in San Mateo until Nov 2019. Prior to joining Rakuten, Weijing was a MBA Course - Customer Insights at University of California, Berkeley, Haas School of Business and held the position of MBA Course - Customer Insights at Berkeley, California. Prior to that, Weijing was a Applied Data Science with Venture Applications: Microgrid Optimization at University of California, Berkeley from Sep 2018 to Dec 2018. Weijing started working as IEOR 191: Technology Entrepreneurship at UC Berkeley College of Engineering in Aug 2018. From May 2018 to Aug 2018, Weijing was Product Management at DiDi, based in Beijing City, China. Prior to that, Weijing was a Undergraduate Research Assistant to Prof. Mitchell Anthamatten at University of Rochester from May 2017 to May 2018.
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Weijing Penny Xu's current jobs
Weijing Penny Xu's past jobs
- Implemented travel campaigns (e.g. Travel Thursday, Instagram sweepstakes.) to advertise brand awareness and increase customer engagement. - Integrated user research results to leverage educational content and brand value propositions across website, app, and social media with marketing team and designers. - Utilized SQL to analyze user behavior in campaigns. - Collaborated with the engineering team on new API migration, explored opportunities to apply new API’s recommendation & cross-sell system, and conducted performance/revenue projection of new features.
- Conducted primary marketing research to design online surveys about power banks. - Analyzed survey data (300 responses) using SPSS and created a perceptual map for Tesla power bank. - Designed online advertisements and run 3 rounds of AB testing to maximize customers’ willingness to pay (WTP). - Posted the optimized advertisement on a bidding platform, Veylinx, showing 150% increase in customers’ WTP.
- Utilized high-frequency data from houses for smart home and microgrid optimization. - Performed exploratory data analysis using PCA and visualized data in heatmap, scatter plots and pairs plots. - Applied ridge regression, ARIMA, SARIMA, DNN and LSTM (Python) to predict energy consumption patterns in different households.
- Created a commercialization plan of Oak Ridge National Laboratory technology for prostate cancer treatment. - Performed primary marketing research (e.g., interviewed 63 academia and industrial experts in prostate cancer treatment) in a group of 5 to validate the market's unmet need. - Participated in regional prostate cancer events to meet with pharmaceutical companies, consulted marketing plans and created G2M strategies and sales plans.
- Analyzed customer conversion rates and customer feedback on recent product launches to capture unmet needs, leading potential app optimization. - Collaborated with international (Mexican, Brazilian and Chinese) UX, engineering and marketing team to design features (e.g., in-app payment method notification and business payment), improving user experience and better serving company strategic goals.
- Synthesized a ureido-pyrimidinone(UPy) containing, crosslinked PDMS network via hydrosilylation reaction for contact printing and biomedical applications. - Analyzed and evaluated complex experimental data through Python, Excel, and Igor. - Submitted a paper as the second author to Science Advances.