Venkata Sai Krishna Pulivarthi

Senior Analyst - Data Analyst
Capgemini, July 2021 - November 2023

• Client: Zurich North American Insurance Company
• Role: Data Analyst

Key Responsibilities:

• Data Analysis & Reporting: Analyzed large datasets to provide actionable insights that supported decision-making processes. Generated regular and ad-hoc reports to track key performance indicators (KPIs).
• Data Cleaning & Preprocessing: Ensured data integrity by cleaning and preprocessing raw data. Identified and resolved data quality issues to maintain accuracy.
• Data Visualization: Developed interactive dashboards and visualizations using tools like Tableau and Power BI to present complex data in an understandable format for stakeholders.
• Statistical Analysis: Conducted statistical analyses to identify trends, patterns, and correlations within the data. Utilized statistical techniques to forecast future trends and support strategic planning.
• Database Management: Managed and maintained databases using SQL. Executed complex queries to extract, manipulate, and analyze data.
• Collaboration: Worked closely with cross-functional teams, including IT, business analysts, and management, to understand data requirements and deliver tailored data solutions.
• Automation & Optimization: Automated repetitive data processing tasks using Python scripts and other tools, improving efficiency and accuracy in data handling.
• Data Governance: Adhered to data governance policies and ensured compliance with industry standards and regulations. Implemented data security measures to protect sensitive information.
• Project Management: Led data-related projects from conception to completion, ensuring timely delivery and alignment with business objectives.

Key Achievements:

• Improved Reporting Efficiency: Reduced the time required to generate monthly reports by 30% through the implementation of automated data processing workflows.
• Enhanced Data Quality: Implemented data validation and cleansing procedures that improved data accuracy by 25%, resulting in more reliable insights and decision-making.
• Successful Data Migration: Played a key role in the successful migration of legacy data systems to a new cloud-based platform, ensuring minimal disruption and improved data accessibility.
• Advanced Analytics Implementation: Introduced advanced analytics techniques, such as machine learning models, to predict customer behavior and optimize marketing strategies, leading to a 15% increase in customer retention.