Kaviya. N Email and Phone Number

Working under A2A support track as a product admin for the Caterpillar project and providing BPM - SOA Infrastructure & application support, MQ-IIB application support for ACE technologies and Denodo Support. MQ-IIB [Application] -Responsible for maintaining logs of various applications, Manual processing, DB updates[Infrastructure] - Configuring DSN, Restart of Integration Nodes, servers, Applications etc, Certificate Installation, Unix & MQ commands. BPM - SOA… Show more Working under A2A support track as a product admin for the Caterpillar project and providing BPM - SOA Infrastructure & application support, MQ-IIB application support for ACE technologies and Denodo Support. MQ-IIB [Application] -Responsible for maintaining logs of various applications, Manual processing, DB updates[Infrastructure] - Configuring DSN, Restart of Integration Nodes, servers, Applications etc, Certificate Installation, Unix & MQ commands. BPM - SOA [Infrastructure] - Websphere Server Restart, System logs, BPD overviewDenodo - Migration Activities Show less

Have been promoted from Operations Executive to Systems Associate. Dedicated Product admin for the track under Caterpillar project. Providing Infrastructure and application support for MQ-IIB, BPM, SOA, Denodo, ODM technologies.

Trained for Full stack Java development and got mapped to Caterpillar project under Middleware support track [A2A]

• Data Analytics Process: Developed dashboards and reports using Power BI and Excel, enhancing project completion time by 20%.• Instagram User Analytics with SQL: Boosted user engagement by 15% and follower base by 10%. Insights improved marketing, product features, and update timings.• Operation and Metric Analysis with SQL: Increased operational efficiency by 25%. Helped allocate resources, improve data quality, and optimize performance.• Hiring Process Analytics with Excel:… Show more • Data Analytics Process: Developed dashboards and reports using Power BI and Excel, enhancing project completion time by 20%.• Instagram User Analytics with SQL: Boosted user engagement by 15% and follower base by 10%. Insights improved marketing, product features, and update timings.• Operation and Metric Analysis with SQL: Increased operational efficiency by 25%. Helped allocate resources, improve data quality, and optimize performance.• Hiring Process Analytics with Excel: Improved recruitment efficiency by 30%. Enhanced strategies for gender balance, salary competitiveness, and departmental resource allocation.• IMDB Movie Analysis: Improved targeted marketing effectiveness by 20%. Recommended focusing on popular genres, higher budgets, and successful directors.• Bank Loan Case Study: Reduced default rates by 15%. Advised on adjusting loan approval criteria and developing predictive models.• Impact of Car Features Analysis: Increased product development efficiency by 20%. Suggested optimizing product mix and tailoring pricing strategies.• ABC Volume Call Trend Analysis: Improved customer service efficiency by 35%. Reduced day call abandon rate from 30% to 10% and ensured 90% call handling during night shifts. Show less

Developed proficiency in Python packages, utilizing statistical analysis and Tableau to drive data-driven insights• Executed statistical analysis in Python to create a impactful Heart Disease Report, projected to reduce disease rates by 20-30%.• Led creation of comprehensive dashboards in PowerBI and Excel to monitor bird strike rates, achieving a 65% reduction in incidents and $500k savings in aircraft repair costs.• Implemented dynamic dashboards in PowerBI and Excel to analyse… Show more Developed proficiency in Python packages, utilizing statistical analysis and Tableau to drive data-driven insights• Executed statistical analysis in Python to create a impactful Heart Disease Report, projected to reduce disease rates by 20-30%.• Led creation of comprehensive dashboards in PowerBI and Excel to monitor bird strike rates, achieving a 65% reduction in incidents and $500k savings in aircraft repair costs.• Implemented dynamic dashboards in PowerBI and Excel to analyse Amazon sales data, resulting in a 40% revenue increase and 75% improvement in sales forecasting accuracy. Show less