Fang You Email & Phone Number
Who is Fang You? Overview
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Fang You is listed as Senior Data Analyst at PayPal, a company with 34921 employees, based in Mountain View, California, United States. AeroLeads shows a matched LinkedIn profile for Fang You.
Fang You previously worked as Product Data Manager at Wish and Business Analyst at Amazon. Fang You holds Bachelor Of Science - Bs, Information Systems from Carnegie Mellon University.
Email format at PayPal
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About Fang You
Fang is a Product Data Manager at Wish, one of the leading cross-border e-commerce platforms. She manages part of the company's customer order management system and supplier channel management system. She conducts product planning, solution design, project data management of the company's large cargo routing and order distribution system for cross-border sea and air logistics products. She holds a PMP certificate and has rich project management experiences.
Fang You's current company
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Fang You work experience
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Product Data Manager
Current- Responsible for the daily management and work coordination of the 6-person product team. Align and connect the business with procurement/sales/engineering and various functional departments. Increase the impact of.
- Drive the product work of each online system from scratch, complete the MVP version and integrated the first batch of customers within a 4-month ramping up period. Product spanned 10+ major airports in EU, NA, SEA and.
- Establish SOP for the entire system, covering the entire process from demand planning to actual implementation, eliminating obstacles to team collaboration and paving the running-in period for new employees.
- Provide cross-system integration technology and process support for external clients and 10+ downstream suppliers.
Business Analyst
- Partnered with AVOC’s Operations Managers, Project Managers and other project teams to build and optimize metrics for CV and ML related prototypical operational improvements in Amazon’s global fulfillment centers.
- Managed and tracked various teams’ Subject Matter Experts’ KPI and other data needs. Used Amazon QuickSight to iteratively build, maintain and automate highly visualized team and individual level data platforms.
- Explored Amazon's extensive data resources and tools to understand business trends related to the AVOC mission and to identify key business opportunities.
Data Analyst
- Worked with management to prioritize business and information needs and to locate and define improvement opportunities of existing processes and products.
- Conducted A/B testing, cohort analysis, time series, hypothesis testing etc. to study customer acquisition and retention rates and to predict growth trends.
- Used R and SQL to develop and implement data infrastructure for company’s new Medicare business. Built and maintained data collection systems, corporate wiki, etc. that optimize analytics efficiency and quality.
- Translated Product, Operations and Sales teams’ business and data needs into Looker, Google Spreadsheet and Periscope based dashboards using advanced data analysis and data visualization techniques.
- Interpreted data using statistical methods to create ongoing reports that drive informed business decisions.
Predicting Injury Risk Of Car Crash Patients To Guide Ct Scanning Decision
- Develop new models and examine existing models to help physicians prioritize medical resources and improve patient experience.
- Cleaned and recoded highly imbalanced data from multiple government sources. Applied various data imputation and recoding methods and examined their effects on the accuracy and precision of reports and predictions.
- Conducted feature engineering to identify key metrics. Proposed new data reporting framework with visualization to help physicians prioritize medical resources and improve patient experience.
- Explore novel component analysis and machine learning methods such as autoencoder, classifier chains, etc.
Modeling And Analyzing Ratings For Google Play Store Apps
- Conducted exploratory data analysis and produced rich visualizations to uncover preliminary patterns in data.
- Built machine learning models such as Support Vector Machine, Random Forest, Gradient Boosting, K-Nearest Neighbors as well as Ordinary Least Squares. Attempted ensemble modeling.
Imdb Movies: Data Scraping And Analysis
- Web-scraped IMDb’s ranking list to analyze factors that contribute to movies’ popularity.
- Cleaned, validated and normalized data for standardized analysis of numerical and descriptive movie data.
- Created user-interactions that allow users to customize their movie search queries.
- Prepared reports and presentations to present results of the analyses to professionals from various industries.
Statistics Teaching Assistant
- Addressed students' questions and provided assistance to professor during lecture.
- Graded students' weekly lab assignments and provided timely and constructive feedback.
Chinese Teaching Assistant
- Led and supervised more than 30 students to prepare them for final projects.
- Held 3 hours of office hours per week to enhance students’ Chinese speaking, grammar and cultural understanding.
Student Entrepreneur
- Designed AuraWait, an end-to-end wait staff management system that leverages ambient lighting and controls per table to drive real-time table management and analytics.
- Conducted market researches for local small dining businesses and ethnographic studies for diners and other relevant stakeholders.
- Established and evaluated AuraWait's brand image, target audience needs and marketing strategies.
- Conducted competitive analyses to assess SWOT of AuraWait and potential competitors.
- Proposed product prototype and system demo in front of academic and industry professionals.
Internship
- Collaborated with hardware and software engineers to define and develop algorithm patent to analyze error logs of enterprise storage system and trace down dysfunctional components.
- Led weekly discussions with stakeholders and patent review committee members to iteratively improve the scope and structure of the patent. Provided consulting to stakeholders using graphs and plain language.
Software Development Project
- Collaborated with 2 technical consultants 12 hours per week to develop new features for Oppia, Google’s open-source interactive educational web application for the NGO Blue Sky Fund.
- Used Python and AngularJS to extend Oppia’s framework that would allow teachers to create engaging lessons for their students on-demand.
- Contributed our features to Oppia’s open-source community such that they could be maintained and would be available to all Oppia users.
Summer Intern: Database Manager
- Managed company databases of physicians and hospitals nationwide using Navicat and processed 2.7 million records from 20 provinces.
- Built two websites for company's subsidiary consulting services.
- Participated in the agile development of online questionnaires of investigations. Communicated with clients and prepared presentation materials.
Translator
- Translating Chinese scripts of an animated horror television series into English
Research Assistant
- Worked in a university-owned lab of Otolaryngology Department and reported the progress of experiments to professors and colleagues.
- Collected and analysed over 1000 sample tissues of patients.
Translator
- Contracted translator of Tsinghua University Press
- Translated an English book about early childhood education into Chinese
- Collaborated with the editor on proofreading and planning for publication
Colleagues at PayPal
Other employees you can reach at paypal.com. View company contacts for 34921 employees →
Frank Sauma
Colleague at Paypal
Omaha, Nebraska, United States, United States
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SM
Subhrat Mahajan
Colleague at Paypal
Chennai, Tamil Nadu, India, India
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YW
Yael Wagner
Colleague at Paypal
San Francisco Bay Area, United States, United States
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HG
Haregwoin Geberesilassie
Colleague at Paypal
Milpitas, California, United States, United States
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HM
Héctor Martil
Colleague at Paypal
Mexico City, Mexico, Mexico
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HH
Haydee Hernández
Colleague at Paypal
Guatemala City, Guatemala, Guatemala, Guatemala
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CC
Christian Coates
Colleague at Paypal
Windsor Mill, Maryland, United States, United States
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JP
Judy Pang
Colleague at Paypal
China, China
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RS
Rachita Singh
Colleague at Paypal
New Delhi, Delhi, India, India
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MR
Mylene Royo
Colleague at Paypal
San Pablo, Calabarzon, Philippines, Philippines
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Fang You education
Bachelor Of Science - Bs, Information Systems
Master Of Science - Ms, Data Science
Additional Major, Statistics
Minor, Philosophy, 4.0
High School, Mathematics
Secondary School
Frequently asked questions about Fang You
Quick answers generated from the profile data available on this page.
What company does Fang You work for?
Fang You works for PayPal.
What is Fang You's role at PayPal?
Fang You is listed as Senior Data Analyst at PayPal.
Where is Fang You based?
Fang You is based in Mountain View, California, United States while working with PayPal.
What companies has Fang You worked for?
Fang You has worked for Paypal, Wish, Amazon, Health Iq, and University Of Virginia.
Who are Fang You's colleagues at PayPal?
Fang You's colleagues at PayPal include Frank Sauma, Subhrat Mahajan, Yael Wagner, Haregwoin Geberesilassie, and Héctor Martil.
How can I contact Fang You?
You can use AeroLeads to view verified contact signals for Fang You at PayPal, including work email, phone, and LinkedIn data when available.
What schools did Fang You attend?
Fang You holds Bachelor Of Science - Bs, Information Systems from Carnegie Mellon University.
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