Data Analytics Professional with Disaster & E-commerce Focus

Yuhang(John) Feng

1-650-***-**** ******@********.*** https://www.linkedin.com/in/yuhang-feng-5159241a6/ EDUCATION

Columbia University New York, NY

Master of Science in Applied Analytics (STEM) GPA 3.86 Dec. 2023 University of California, Santa Cruz Santa Cruz, CA Bachelor of Science in Technology and Information Management Jun. 2020 TECHNICAL SKILLS

Programming Skills: SQL, R (dplyr, ggplot2), Python (Pandas, NumPy), C Software Skills: Excel, Tableau, Presto, Hive, GitHub, Analytics Skills: A/B testing, regression, classification, statistical modeling, data visualization, deep learning PROFESSIONAL EXPERIENCE

American Red Cross Aug2025 – Prsent

Data Analyst

Supported disaster planning and resource allocation decisions by analyzing over 10,000+ disaster impact and recovery records, reducing manual reporting labor by 15%.

Built standardized data collection templates using Python and streamlined reporting processes with Tableau, improving efficiency by making it easier to manage and visualize thousands of disaster assessment records

Created dashboards and visual reports in Excel/Power BI to summarize incident trends for leadership,reducing decision-making time by approximately 15% by providing faster access to accurate disaster data

Collaborated with cross-functional teams, including field volunteers, disaster response coordinators, and data staff, to validate assessment data and ensure updates were entered within 24 hours during active disaster response.

Produced actionable insights by identifying patterns in disaster assessment data using Python and SQL, guiding resource allocation to the most affected areas and helping reduce the risk of supply shortages during relief operations Eth Tech, Newark, CA Jan 2024 – Apr. 2024

Data Scientist Intern

Conducted clustering analysis and segmentation analysis on a dataset of over one million e-commerce buyers using Python and SQL to identify engagement trends, improved marketing strategies that boosted customer retention by 3%.

Developed metrics strategies for measuring seller and buyer engagement and retention; designed user-friendly data visualizations using Tableau to track and report trends, significantly influenced product roadmap decisions.

Led data analysis such as regression analysis using Python to improve operational efficiency, streamlined workflows and reduced the time required to generate and analyze weekly sales reports by 70%.

Built machine learning models such logistic regression and decision trees to predict customer churn, improved the customer retention rate by 5%.

Collaborated cross-functionally with sales and data engineering teams, ensured data pipelines quality and provided insights supporting operational efficiency and strategic decision-making. Eldon Group, New York, NY Sept. 2021 – Nov. 2021

Data Scientist Intern

Enhanced data analysis efficiency by 15% on large datasets containing millions of records by building and optimizing ETL pipeline using Python, conducted data cleaning and feature engineering for machine learning readiness.

Utilized Python and SQL to perform comprehensive competitive analyses and market research on mobile and video gaming sectors, identify opportunities such as mobile gaming enhance market opportunity sizing and targeting strategies, leading to a 10% increase in the customer base

Led analysis on player behavior, monetization strategies, and engagement drivers; developed Random Forest models to analyze purchasing patterns and predict customer behavior, provided insights that informed targeted marketing campaigns, resulting in a 5% increase in sales.

Creating over 10 insightful visualizations using Python’s Matplotlib and Seaborn libraries to communicate gaming insights to non-technical stakeholders and drive informed decision-making across teams. Get Virtual, Santa Cruz, CA June 2020 – Jun 2021

Data Scientist

Analyzed over 1,000 client surveys using Python, identified key pain points and actionable insights for product design, led to a 15% increase in client satisfaction.

Performed A/B testing to optimize a key website feature, led to a 12% increase in add-to-cart rate; collaborated with UX team to enhance the user interface, improved the number of daily active users by 15%.

Collaborated cross-functionally with marketing, engineering, and UX teams to align analytics projects with business objectives, presented actionable insights to non-technical stakeholders, ensured seamless integration of technical solutions into operations.

Managed project timelines and deliverables, communicated with clients to identify pain points and ensure solutions aligned with their business needs as well as coordinated with marketing, engineering, and UX team members to exchange information, resolve blockers, and keep tasks aligned with goals.

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