Leveraged RFM analysis to understand purchasing patterns and utilized K-Means Clustering, Logistic Regression, and PCA in R to analyze loyalty drivers, identify distinct customer segments, and optimize campaign targeting, resulting in a 12% increase in retention rate. 
Designed a real-time client financial dashboard in Power BI, presenting key metrics and charts to empower executives with up-to- the-minute data, reducing processing time by 15% and enabling swift, informed decision-making and proactive strategy adjustments. Performed root cause analysis to identify service gaps, conducted comparative analysis across channels, and forecasted conversion rates and acquisition costs. These insights improved customer satisfaction by 10% and increased new subscriptions.Engaged in extensive discussions with various departments and performed analysis using Excel on bounce rates, retention rates, andconversion rates, providing the operations team with insights to improve advertising strategies for attracting traffic.

Architected a Python-based ETL pipeline to extract, transform, and clean data from diverse sources (LexisNexis, Directory, iWave, internal CRM), centralizing it into a SQL database, enabling 1000+ unified donor profiles and boosting major gifts by 5%.Created optimized fundraiser portfolios by assigning top prospects based on giving potential, using iWave and CRM tools, and automating portfolio updates and prospect re-prioritization through scheduled scripts to mitigate the risk of missed opportunities.Collaborated to review and maintain prospect data accuracy by addressing duplicates and incomplete entity hierarchies; launched 8 collaborative meetings to tackle challenges for key prospects, prepare documentation, and manage issue resolution.

Attained a 32% reduction in wastage to optimize inventory levels by using the ARIMA model to predict seasonal demand fluctuations for medications and monitor inventory data management.Streamlined data entry, reducing time spent by 70% and manual errors by using an interactive dashboard with SQL to integrate various data types (e.g., patient demographics, lab results) from diverse sources (Electronic Data Capture, central lab, etc.).Collaborated with IT to automate real-time KPI and clinical data point updates through a centralized platform using Tableau, facilitating improved communication and data sharing among stakeholders.Implemented Python scripts using Pandas for data manipulation and validation, and Scikit-learn for anomaly detection, automating checks across reporting systems and reducing outstanding issues by 17%.

Enhanced a mobile search engine application using R for data analytics and A/B testing, which increased user satisfaction by 3.8% and boosted monthly active users by 7%.Led UX design improvements by producing activity and use case diagrams, and high-fidelity prototypes using Axure RP, reducing cost by 5% through better feature prioritization and detailed requirement analysis.Executed SEO marketing strategies to boost visibility and organic traffic for product pages by 15%, achieving higher search engine rankings through meticulous keyword optimization.