• Automated data processing tasks using Python to improve efficiency and minimize manual intervention. • Developed and validated machine learning models for retaining customers in building a customer retention dashboard.• Data cleansing for analytical review and full understanding of different complex data sets.• Worked with AWS in order to provide data storage and management ensuring reliability and security. • Analysis into large data sets to find trends and correlation to… Show more • Automated data processing tasks using Python to improve efficiency and minimize manual intervention. • Developed and validated machine learning models for retaining customers in building a customer retention dashboard.• Data cleansing for analytical review and full understanding of different complex data sets.• Worked with AWS in order to provide data storage and management ensuring reliability and security. • Analysis into large data sets to find trends and correlation to better increase retention rates of customer base and increase sales• Direct communication with stakeholders in helping them understand the different visual data sets. • Created an interactive data visualization dashboard using Tableau connected to Amazon Redshift, providing real-time insights and improving data accessibility for business users.• Automated data processing tasks with AWS Lambda functions, streamlining workflows and decreasing manual effort. Show less

• Implemented machine learning algorithms and predictive models to forecast future sales and outlooks. • Collaborate with analytics teams and business partners to improve data models that feed BI tools, increasing data accessibility and encouraging data-driven decision making across the organization.• Translate business needs and vision into project deliverables, roadmaps and organization strategies.• Develop production level dashboards to display trends, KPIs, and machine learning… Show more • Implemented machine learning algorithms and predictive models to forecast future sales and outlooks. • Collaborate with analytics teams and business partners to improve data models that feed BI tools, increasing data accessibility and encouraging data-driven decision making across the organization.• Translate business needs and vision into project deliverables, roadmaps and organization strategies.• Develop production level dashboards to display trends, KPIs, and machine learning predictions. Shared these models with key business stakeholders and management for findings and evaluations. • Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to those directly involved including senior managers and VP level. Show less