FIS Solutions

June 2022 - December 2022

• Utilized Python for data cleaning, analysis, and automation, improving data processing efficiency by 30%.• Developed complex SQL queries to extract, transform, and analyze large datasets, reducing query execution time by20%.• Designed interactive Power BI dashboards to track key performance indicators, enhancing data-driven decisions.• Applied advanced Excel functions (Pivot Tables, VLOOKUP, Power Query) to streamline data analysis.• Ensured data accuracy and consistency by implementing DBMS best practices.• Applied OOPs principles in Python for modular, reusable data analysis scripts.• Managed version control using Git and collaborated on projects via GitHub.• Translated business requirements into actionable insights, improving reporting accuracy by 25%.• Identified and resolved data anomalies, enhancing data quality by 15%.