● Analyzing claims data to detect fraudulent activities, enhancing fraud detection algorithms, and minimizing false claims.● Developing risk assessment models to evaluate policyholder risk profiles, streamlining the underwriting process.● Collaborating with actuarial teams to analyze loss trends and forecast future claim costs, aiding in reserve estimation.● Creating automated reports and dashboards to monitor claims processing efficiency and identify areas for… Show more ● Analyzing claims data to detect fraudulent activities, enhancing fraud detection algorithms, and minimizing false claims.● Developing risk assessment models to evaluate policyholder risk profiles, streamlining the underwriting process.● Collaborating with actuarial teams to analyze loss trends and forecast future claim costs, aiding in reserve estimation.● Creating automated reports and dashboards to monitor claims processing efficiency and identify areas for improvement.● Examining policyholder demographics and behavior to identify cross-selling opportunities and enhance customer retention.● Assisting in the implementation of data governance policies and procedures to maintain data integrity and ensure regulatory compliance.● Presenting findings and recommendations to senior management through clear and concise reports and presentations.● Researching market trends to uncover new opportunities for product expansion. Show less

● Analyzed sales data to detect trends and patterns, optimizing pricing strategies and product assortments.● Conducted customer segmentation analyses to customize marketing campaigns, resulting in a 10% increase in customer engagement.● Developed predictive models to forecast demand and optimize inventory levels, reducing stockouts.● Automated routine data analysis tasks with Python scripts, significantly improving efficiency.● Worked with merchandising teams to optimize product… Show more ● Analyzed sales data to detect trends and patterns, optimizing pricing strategies and product assortments.● Conducted customer segmentation analyses to customize marketing campaigns, resulting in a 10% increase in customer engagement.● Developed predictive models to forecast demand and optimize inventory levels, reducing stockouts.● Automated routine data analysis tasks with Python scripts, significantly improving efficiency.● Worked with merchandising teams to optimize product placement and assortment strategies.● Performed A/B testing on promotional strategies to assess effectiveness and improve ROI.● Designed interactive dashboards in Tableau to visualize sales performance and monitor KPIs.● Presented findings and recommendations to senior management through clear, concise reports and presentations. Show less

● Analyzed network performance data to find areas for improvement and optimize network capacity planning.● Collaborated with engineering teams to define KPIs and create automated reporting dashboards for monitoring network performance.● Conducted root cause analysis of network outages and service disruptions, implementing preventive measures.● Analyzed customer usage patterns to uncover upselling opportunities and boost revenue generation.● Produced ad-hoc reports and analysis… Show more ● Analyzed network performance data to find areas for improvement and optimize network capacity planning.● Collaborated with engineering teams to define KPIs and create automated reporting dashboards for monitoring network performance.● Conducted root cause analysis of network outages and service disruptions, implementing preventive measures.● Analyzed customer usage patterns to uncover upselling opportunities and boost revenue generation.● Produced ad-hoc reports and analysis to support decision-making and address stakeholder inquiries.● Conducted market research to understand customer needs and preferences for new service offerings.● Assisted in analyzing call detail records to identify fraudulent activities and minimize revenue loss. Show less