Rachel Nguyen Data Scientist
My
Profile
Data Scientist specializing in product analytics, experimentation, and machine learning.
I help product and business teams make better decisions by transforming complex customer data into actionable insights. My experience spans SaaS, consumer technology, and healthcare, where I've built predictive models, designed experiments, and uncovered behavioral patterns that improve customer retention, product adoption, and business growth.
Areas of Interest- Product Analytics: Understanding how users discover, adopt, and engage with products through experimentation, behavioral analysis, and lifecycle modeling.
- Customer & Consumer Insights: Identifying meaningful behavioral patterns that improve onboarding, retention, and long-term customer value.
- Business Strategy: Partnering with cross-functional teams to translate data into product strategy, operational improvements, and measurable business outcomes.
Work
Experience
Calendly
Data Scientist
April 2026 - Present
- Developed a customer churn prediction model across a $30M+ ARR portfolio with 85% precision, replacing a third-party solution and saving $80K annually.
- Built predictive models using onboarding, product adoption, and engagement signals to identify behaviors associated with a 20% higher likelihood of long-term retention, informing Growth experimentation priorities.
- Led lifecycle and renewal analytics to identify behavioral drivers of successful renewals, informing targeted marketing experiments that increased renewal rates by 8%.
- Established the team's foundational data science workflow by introducing Vertex AI, GitHub version control, and reproducible machine learning practices to accelerate future model development.
Partnered with cross-functional teams to understand customer behavior and improve onboarding, retention, and renewal through predictive modeling, experimentation, and data-driven analysis.
Data Analyst
May 2024 - April 2026
- Owned the analytics strategy for Calendly's SMS credit optimization initiative, redesigning global pricing and customer credit allocation to reduce annual messaging costs by $1.2M.
- Developed revenue forecasts and executive KPI reporting for Finance and Sales leadership, supporting annual planning, sales target setting, and strategic decision-making.
TikTok
Data Analyst
Sept 2022 - March 2024
- Increased average spend by 41% and customer engagement by 10% through experimental A/B testing and qualitative analysis.
- Ideated and launched a new onboarding sales segment with programs and operations teams by delivering capacity analysis and account assignment logic, leading to a 15% increase in customer retention in 3 months.
- Scaled an agency rewards program to over 20 global markets by delivering audience sizing, risk analysis, and product strategy, resulting in a 12% improvement in product adoption.
- Utilized Hive SQL to create datasets for cross-functional stakeholders, enhancing the accuracy of business assets for the SMB's largest revenue sales segment, leading to the discovery of $20M in previously unaccounted revenue.
- Improved revenue attribution by 10% by implementing a data mapping process on ETL pipeline that validates tagging accuracy within the internal CRM platform with data engineering team.
Led end-to-end analytics and strategy support for full-funnel sales segments and go-to-market program initiatives under TikTok’s Small- & Medium-Sized Business (SMB) organization.
University of California, Irvine
Data Analyst
June 2019 - Sept 2022
- Contributed to the product design and efficacy evaluation of a molecular screen for autism spectrum disorder that has been published, patented (US 20190128898), and commercialized.
- Conducted cohort analysis to identify key patterns in patient demographic and clinical data to predict disease progression, treatment outcomes, and genetic predispositions of rare neurological disorders.
Delivered data insights to a research team identifying clinical signals in medical records that implicate a risk of developing genetic disorders.
My
Education
University of California, Los Angeles
Expected Graduation 2027M.S. | Applied Statistics and Data Science
University of California, Irvine
2015B.S. | Biological Sciences · Cum Laude