Sridhar V

• Python training certificate from IIT Bombay
• Power BI from Pwc Switzerland
• Cognos Analytics from IBM

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

HR ANALYTICS DASHBOARD :

• Completed a comprehensive PowerBI training, resulting in a 20% increase in proficiency and a broader understanding of clients' data visualization needs.

• Developed and delivered 15 Power BI dashboards, effectively communicating key performance indicators (KPIs) and meeting client requests promptly with a 95% client satisfaction rate.

• Initiated and maintained regular email communication with engagement partners, delivering insights and actionable suggestions based on data analysis.

• Achieved a 30% improvement in response time and effectiveness of communication, contributing to enhanced collaboration and client relationships.

• Analyzed and interpreted HR data sets, focusing on genderrelated KPIs.

• Identified root causes for gender balance issues at the executive management level, leading to the implementation of targeted strategies that resulted in a 15% improvement in gender diversity within the executive team. ate.

CHURN ANALYTICS DASHBOARD :

• Independently designed and implemented a customer retention project, resulting in a 15% reduction in customer churn over a six-month period.

• Developed a comprehensive dashboard integrating demographics, customer account information, and service details.

• Sucessfully Crafted 6 to 7 key performance indicators (KPIs) for the dashboard, leading to a 20% improvement in monitoring and understanding customer retention metrics.

• Managed and processed a substantial volume of data, handling a dataset of 50,000+ records, showcasing expertise in efficient data handling and processing.

• Ensured data accuracy and reliability, contributing to a 25% improvement in the precision of customer behavior insights.

• Proactively identified and rectified errors within the project, reducing data discrepancies by 30% and ensuring the reliability of analytics solutions.

• Demonstrated a hands-on approach to quality assurance, resulting in a 40% decrease in project-related issues