Available to hire
Hi there! I’m Yamini Danaboina, a Data Analytics Scientist focusing on lifecycle marketing, experimentation, and growth analytics. With 7 years of experience, I bridge marketing, product, and data science to drive onboarding, activation, retention, churn, and resurrection. I design segmentation strategies, predictive models, and measurement systems that transform raw behavioral and marketing data into structured foundations for product-led growth, while enabling self-serve analytics and faster decision-making across teams.
Hi, I’m passionate about turning analytical insights into actionable business impact. I collaborate with Product, Engineering, and Marketing to align lifecycle initiatives with business goals, build dashboards and KPIs that empower teams, and prioritize experiments and resource allocation to improve the customer journey and overall experience.
Skills
Language
English
Fluent
Work Experience
Data Analytics Scientist – Lifecycle Marketing at National Inventors Hall of Fame
March 1, 2025 - November 4, 2025Designed and implemented segmentation models across B2B and B2C cohorts to capture behavioral and transactional signals. Defined lifecycle metrics for activation, retention, and churn in collaboration with marketing and engineering. Built SQL and Python pipelines to consolidate CRM, product, and campaign data into unified analytics views, and developed Power BI dashboards for activation funnels, engagement depth, and feature adoption. Led an experimentation framework with test design and audience sampling, performed post-experiment analyses, and translated results into marketing optimizations. Developed churn and propensity models forecasting lifecycle movement and established automated data validation and refresh processes to reduce manual workload. Communicated insights to leadership to align quarterly lifecycle strategy with experimental findings, and produced governance documentation for dashboards.
Business Data Analyst – Marketing & Operational Analytics at Truist Bank
March 1, 2025 - March 1, 2025Designed end-to-end analytics frameworks linking marketing spend with engagement and operations. Built SQL data models integrating digital, CRM, and financial data to support lifecycle segmentation and performance reporting. Defined activation, engagement, and retention metrics with marketing teams; built Power BI dashboards for campaign ROI, funnel efficiency, and reactivation trends across channels. Automated recurring KPI reports with Python and designed A/B and multivariate tests for email, push, and digital campaigns. Created propensity and churn models highlighting high-retention segments; conducted funnel analyses to identify leakage and opportunities for optimization. Collaborated with product and data engineering to improve data accessibility via ETL optimization.
Clinical Data Analyst Intern at PSSM Global
April 1, 2024 - April 1, 2024Supported analytics pipelines for clinical operations and study performance monitoring. Developed Python and R scripts to automate report generation for quality and risk management metrics. Partnered with data engineers to align data integration workflows with compliance and governance standards. Created Spotfire dashboards summarizing protocol deviations, enrollment rates, and data-entry timeliness. Performed exploratory analyses on multi-source datasets to identify performance anomalies and site-level trends; translated insights into corrective actions; implemented validation routines to ensure traceability of analysis pipelines.
Student Data Analyst – Academic Projects (Healthcare & Business Analytics) at St. Francis College
December 1, 2023 - December 1, 2023Conducted analytics projects integrating healthcare and business datasets to evaluate performance and patient outcomes. Designed SQL-based pipelines and Power BI dashboards visualizing patient flow, resource utilization, and KPI trends. Applied regression and classification models in R and Python; performed EDA to ensure data integrity; simulated A/B experiments to evaluate interventions; delivered storytelling visuals and analytical reports enabling non-technical audiences to interpret results. Integrated multiple data sources for unified views across time periods.
Senior Data Analyst – Analytics & Visualization at Accenture
April 1, 2022 - April 1, 2022Directed multiple analytics projects delivering scalable reporting and visualization solutions. Built Power BI and SQL frameworks standardizing metrics across business domains; automated recurring reports with Python; partnered with stakeholders to translate business needs into KPIs; developed predictive models and dashboards supporting resource planning and performance tracking. Improved data reliability through collaboration with data engineering and established SOPs for dashboard development; mentored junior analysts and led analytical reviews to translate insights into actionable recommendations.
Education
Master of Science in Information Technology at St. Francis College, New York
January 11, 2030 - January 1, 2024B.Tech in Information Technology at Vignan Bharathi Institute of Technology, India
January 11, 2030 - January 1, 2018Qualifications
Advanced SQL for Data Analytics
January 11, 2030 - November 4, 2025Google Analytics 4 (GA4) Advanced Certificate
January 11, 2030 - November 4, 2025Machine Learning for Marketing Optimization
January 11, 2030 - November 4, 2025Amplitude Analytics Practitioner
January 11, 2030 - November 4, 2025Clinical Data Analytics & RBQM Certification
January 11, 2030 - November 4, 2025Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Healthcare, Education, Financial Services
Skills
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