Charles Qihang Zhou Email & Phone Number

New York, NY, US

New York, NY, US

1. Project Management: Initiated and led the Customer Lifetime Value (CLV) project, introducing a novel approach to evaluating wealth clients based on AUM and growth potential. Developed a Python-based lookalike model to quantify CLV, collaborating closely with the COO and presenting to senior management. Successfully drove project adoption, significantly.

Austin, Texas, US

1. Data-Driven Story Telling: Leveraged alternative data in Python to assess the efficacy of Oracle-modeled audience targeting, aiding the sales team in crafting compelling marketing narratives and collateral.2. Automation: Engineered a Python-based automation pipeline integrating JIRA API to streamline the extraction and cleansing of ad viewability data..

Austin, Texas, US

• Graduated from a 2-year Rotational Analytics Program with exposure to 4 different roles in data science.1st Rotation – Integrated Analytics Solutions (Aug 2016 – Feb 2017)
• Web Data Collection: Automated the process to collect the brand penetration rate from the website of IRI, a market research company, by searching the most similar products in Python, which reduced the touch-time by 99%.
• Data Wrangling: Implemented an end-to-end pipeline to deliver buy-through-rate campaign reporting by integrating large datasets from multiple sources using Hive, Python and Redshift.2nd Rotation – Strategic Analytics.
• Data Visualization: Developed a web-based dashboard from scratch to track the growth of qualified marketing leads using Python Flask, AngularJS and C3.js, which has enabled the marketing department to make quicker.
• Ad Hoc Support: Provided internal and external data-driven product support to various stakeholders in quick turnaround mostly by using SQL and Python.3rd Rotation – Identity Science (Aug 2017 – Feb 2018)
• Big Data Pipeline: Designed and implemented a scalable data pipeline in AWS using PySpark, Python, Luigi, and Docker. This system established key metrics for assessing the accuracy of cookie-to-household connections.

Setagaya-ku, Tokyo, JP

1. Market Basket Analysis: Utilized PySpark to identify groups of products that are negatively associated from over 1 million user transactions, improving the efficiency of smart coupon system.2. Text Analytics: Analyzed a dataset of wine product titles in Python and generated a dictionary of Japanese-English synonyms, enabling the team to improve the.

Santa Clara, CA, US

Worked as the Business Intelligence Analyst for GMYLE (Gadgets Make Your Life Easier), an E-Commerce retailer developing consumer electronics, gadgets and accessories through multiple online platforms.1. Web Data Collection: Developed a web scraping program in Java to collect product ranking information and customers'​ review on Amazon's website, saving 15.

Master’S Degree, Management Information Systems

Bachelor’S Degree, Economics

Exchange Program, Economics