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Developed ML models using Python(pandas,
numpy, Matplotlib ) for customer clustering and propensity scoring,
improving marketing personalization and increasing customer retention by 22%.
·
Leveraged SQL for complex data
querying and analysis and developed robust data models to support business
intelligence initiatives and enhance decision-making processes.
·
Designed and implemented
advanced analytical solutions using Python(pandas) and SQL, including
targeting strategies, segmentation frameworks, campaign performance, and
predictive modeling for various clients.
·
Built Tableau dashboards,
reducing reporting time by 30% and enabling real-time data-driven
decision-making.
·
Developed A/B testing
frameworks to evaluate AI-driven solutions, optimizing customer experience.
·
Managed and optimized SQL
and Snowflake databases, processing millions of records, reducing manual
effort by 50%, and improving data integrity.
·
Conducted data storytelling
sessions for translating complex analytical findings into actionable insights,
increasing stakeholder engagement by 25% by plotting the data points and
finding in a dashboard using Tableau.
·
Led 5+ high-priority projects
and delivered insights that improved customer engagement and retention by 20%.
·
Conducted performance analysis
on marketing campaigns, assessing efficiency, incremental impact, and ROI to
optimize spending and targeting using Python(pandas, numpy, Matplotlib), SQL
and Tableau.
Regression, Time-Series Forecasting, Random Forest, Clustering, Gradient Boosting, PCA