Nagendra Babu

As a data analyst, I am driven by a meticulous and diligent approach, ensuring accountability in every insight I deliver. My ambition is tempered by a flexible mindset, allowing me to logically navigate complex data challenges and contribute to ideal, long-term solutions.

Experience

C

Data Analyst

C-Edge Technologies · Jan 2024 – Oct 2025

Not yet confirmed

• Collected, processed, and validated 3,000+ banking records monthly, maintaining 99.9% data accuracy under strict SLA timelines.
• Wrote SQL queries to extract, clean, and organize large datasets from banking systems for analysis and reporting.
• Built and automated interactive dashboards in Power BI and Excel, reducing manual reporting time by 30%.
• Performed exploratory data analysis (EDA) to identify operational trends, discrepancies, and data quality issues.
• Improved overall data quality by 15% by designing and implementing validation frameworks and QA checks.
• Prepared daily, weekly, and monthly MIS reports to track KPIs and business performance metrics.
• Partnered with cross-functional teams to support reporting needs, analytics requests, and ad-hoc business queries.

Senior Associate - Data Analyst

Wipro · May 2022 – Jul 2023

Not yet confirmed

• Processed and analyzed 1,000+ customer records monthly, maintaining 100% data accuracy and zero errors.
• Developed MIS reports and dashboards that improved reporting efficiency by 20%.
• Identified and resolved data discrepancies, reducing duplicate and incomplete records by 35% through enhanced validation methods.
• Built and standardized data validation checks that strengthened overall data quality and reduced manual rework.
• Maintained strict data accuracy, consistency, and confidentiality across all reporting deliverables.

What drives their work

The Specialist

You master the intricacies of data to reveal its true story.

Nagendra's superpower

You excel at meticulously transforming raw, complex data into clear, actionable insights and reliable reports.

How Nagendra works

You thrive in teams that value mutual support and a blend of experience levels, where your analytical skills can directly contribute to understanding and improving operational data.