Kessie Zhang
Data Scientist 💡| Driving Product Growth 📈 | Building AI-Powered B2B Products
- Role
- Data Scientist Ii, Product Analytics at Cisco
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Kessie Zhang
I help businesses grow with data-driven strategies.Currently, I work as a Product Data Scientist at Cisco, leading growth initiatives for the Security Business Group. With over 5 years of experience transforming data into actionable insights, I focus on driving adoption, improving retention, and influencing the product roadmap. My work isn’t just about numbers — it’s about understanding the bigger picture, crafting strategies that move businesses forward, and guiding stakeholders to make informed, impactful decisions.Communication is at the heart of everything I do. Beyond my data science expertise, I’m also a certified life coach. This unique combination helps me blend data storytelling with actionable insights to inspire teams, foster alignment, and enable data-driven decisions that drive impactful results.Outside of my 9-to-5, I love exploring new skills and experimenting with AI tools to improve how I think and work. Through my coaching, I help people stay future-ready in the AI era, and grow their careers without overwhelm.Let’s connect if you’re looking for someone who drives impact through data, product thinking, and people development! Technical Skillset: Programming Languages: Python, SQL, R Modeling: Regression, Classification, NLP, Time Series, Large Language Models (LLM) etc. Big Data Toolkits: AWS, Spark Database: Snowflake, MySQL, PostgreSQL, Oracle, MongoDB Data Visualization: Tableau, Amplitude
Experience
Data Scientist Ii, Product Analytics
Sep 2024 — Present
I lead cross-functional analytical projects, from identifying opportunities, bringing together stakeholders, developing diverse toolkit of rigorous analytical approaches, to telling data-driven stories and writing up the results. • Define key metrics, create data models, and craft visualizations depicting product usage insights using Python, SQL, dbt and Tableau to support decision making process. • Identify key patterns and growth opportunities using statistical inference and modeling techniques, and provide actionable business recommendations. • Optimize data integrations, data models and views while developing new data tracking, and create experimentation analyses and data dictionaries to improve collaboration.
Education
UC San Diego
Bachelor of Science - BS, Applied Mathematics
California State University - East Bay
Master of Science - MS, Business Analytics
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