Pan Chen Email & Phone Number

Redmond, Washington, US

• Telemetry Data Insights: Delivering actionable insights by wrangling Forza Motorsport telemetry data, transforming raw data into key recommendations, metrics, and dashboards using Synapse (PySpark, Python, SQL) and.
• Player Behavior and Economy Analysis: Built a consolidated player behavioral session table that streamlined data access for teams, enabling efficient analysis of player actions, time spent, and in-game economy metrics..
• Chatbot Development: Built a stakeholder-facing chatbot with embeddings for querying game telemetry data insights. Converted a Synapse notebook-based chatbot into a Streamlit web app, enhancing accessibility and.

Phoenix, Arizona, US

• Machine Learning Model Development and Deployment: Engineered and deployed machine learning models using Prophet, PySpark, scikit-learn on Databricks, including 300+ time series forecasting models for distinct product.
• Insights and Visualizations: Managed and fulfilled requests from Finance, Marketing, CRM, Loyalty & Experience teams by working directly with stakeholders and translating their business requests into into data problems.
• Large-scale ETL and Data Modeling: Built Customer 360 data products by integrating and automating various data sources and multiple data science models, including CLV and Churn Risk for 34+ million customers.
• Automation: Proactively identified opportunities for process improvement, developed and implemented Python scripts to automate data refresh, migration, and email scheduling, saving more than 100 hours of manual or ad.
• Experimental Design and Analysis: Collaborated with Test and Measurement team to design and execute A/B testing experiments, testing the effectiveness of marketing campaigns and personalization efforts. Conducted.

Seattle, WA, US

• NLP and Text Classification: Developed text classification Machine Learning models in Python with NLTK and scikit-learn packages with regression and ensemble models, transforming raw customer feedback into actionable.
• Insights and Visualizations: Designed, created, and maintained self-service Power BI dashboards integrating multiple complex data sources for managers and VPs. These dashboards provided critical insights into food.
• Data Extraction: Developed and implemented ETL pipelines for aggregating and cleansing data from external sources such as Uber Eats, Call Center Systems, Surveys, and distribution centers
• Experimental Design: Designed and conducted experiments to evaluate the effectiveness of new food safety solutions in stores, using A/B testing to compare the performance of new solutions against current practices..

Redmond, Washington, US

Data Analytics and Algorithm Engineering: Developing algorithms to extract features from massive and messy datasets, conducting experiment design, statistical modeling, time-series forecasting, and visualizing findings and results using Python

Syracuse, New York, US

• Cleaned, parsed and transformed 75GB raw dataset stored in a MySQL server using R, for the purpose of disambiguating alternate spellings of institutional or individual names from millions of authors and inventors who.
• Designed an innovative algorithm using co-author matching logic that was able to effectively run on large datasets and disambiguate a large portion of data with high confidence

Syracuse, New York, US

• Being referred to assist teaching a graduate-level data visualization class focused on techniques and data storytelling using R, ggplot2, shiny, D3, and Adobe Illustrator
• Mentored students, assessed their work with feedback, lead discussion and Q&A sessions, edited course website, and prepared course materials

Syracuse, New York, US

• Assisted graduate-level data visualization class focused on data storytelling using R, ggplot2, shiny, D3, and Adobe Illustrator.
• Mentored students, assessed work, lead discussion and Q&A sessions, edited course website, and prepared course materials.

• Optimized and monitored keywords and created ads for the pay-per-click campaigns to increase key metrics like acquisition and retention while managing the budget for a mobile app company
• Analyzed and reported on paid search marketing data and insights from various marketing channels with statistical analysis, visualization and dashboards, using MS Excel
• Drove the daily active users to 2.6 million and total registered users to 30 million by the end of my tenure

• Conducted monthly assessments on psychosocial status of senior participants.
• Collected and managed participants' data and medical records. Ensured data quality and data integrity.

Master Of Science (M.S.), Management Information Systems, Data Science

Bachelor Of Arts (B.A.), Psychology