Harry Tan, Data Scientist

Professional Overview

Harry Tan is an accomplished Data Scientist with a diverse background in data analytics, data engineering, and data-driven consulting. He leverages his expertise in machine learning, statistical modeling, and data visualization to drive impactful business insights and solutions across various industries.

Experience Summary

Current Roles

Data Scientist, Kohl's (2025-01-01 to Present)

• Develops and implements advanced predictive models to optimize inventory management, customer segmentation, and marketing strategies

• Collaborates with cross-functional teams to translate business requirements into data-driven solutions

• Leads the development of automated data pipelines and reporting dashboards to enhance operational efficiency

Library Data Analyst, UC Berkeley Library (2023-10-01 to Present)

• Analyzes library usage data to identify trends and optimize resource allocation

• Designs and implements data visualization tools to enhance data-driven decision making

• Serves as a subject matter expert, providing data-driven recommendations to library leadership

Data Consulting Committee Member, SAAS Berkeley (2023-06-01 to Present)

• Provides data consulting services to local businesses and startups

• Mentors and trains junior data professionals on best practices in data analysis and project management

• Contributes to the development of data-driven strategies and solutions for the Berkeley tech community

Career Progression

Data Science and Engineering Intern, Infosys (2024-06-01 to 2024-08-01)

• Developed and tested machine learning models to automate image classification and natural language processing tasks

• Collaborated with cross-functional teams to deliver data-driven insights and recommendations

Data Science Consultant, Spotify (2024-02-01 to 2024-05-01)

• Analyzed user engagement data to identify content optimization opportunities and improve user retention

• Designed and implemented A/B testing frameworks to measure the impact of product updates

Data Science Consultant, Mercari US (2023-08-01 to 2023-12-01)

• Supported the development of a recommendation engine to personalize product listings for users

• Leveraged predictive analytics to forecast demand and optimize pricing strategies

Academic Background

Harry holds a Master of Science in Data Science from the University of California, Berkeley, where he specialized in machine learning, data mining, and business intelligence. He also earned a Bachelor of Science in Computer Science from the University of Washington, with a minor in Business Analytics.

Areas of Expertise

• Machine Learning: Proficient in the development and deployment of predictive models using techniques such as regression, classification, and clustering

• Data Engineering: Experienced in designing and implementing data pipelines, ETL processes, and data warehousing solutions

• Statistical Modeling: Skilled in the application of statistical methods for hypothesis testing, causal inference, and time series analysis

• Data Visualization: Adept at creating interactive dashboards and reports using tools like Tableau, Power BI, and Plotly

Professional Impact

• Spearheaded the development of a customer churn prediction model at Mercari US, resulting in a 15% reduction in customer attrition

• Designed and implemented a recommendation engine at Spotify that increased user engagement by 20% and improved content personalization

• Collaborated with the UC Berkeley Library to develop a data-driven resource allocation strategy, leading to a 12% increase in library usage and a 20% reduction in operating costs

Conclusion

Harry Tan is a versatile and data-driven professional who excels in translating complex data into actionable insights and impactful business solutions. With a proven track record of driving innovation and delivering measurable results, he is poised to continue making valuable contributions to the data science field.