Swetha Aanikyala

Assisted in managing data lifecycle processes from collection to cleaning.
Collected and cleaned raw data through SQL, Python, and Excel.
Ensured accuracy and consistency of datasets during analysis.

Assisted in automating reporting tasks to enhance efficiency.
Created dashboards that presented insights to stakeholders.
Supported data validation and trend identification efforts.

• Utilised SQL, Python (Pandas, NumPy), and Excel to clean and transform raw data, ensuring accuracy and usability.
• Optimised SQL queries to extract, join, and analyse large datasets from multiple sources.
• Conducted data analysis and validation to identify trends, anomalies, and business insights.
• Execute automated data processing and reporting tasks using Python scripts, eliminating manual effort and enhancing efficiency.
• Built interactive dashboards and reports to enhance data-driven decision-making.
• Conducted data cleaning and preprocessing using pandas to enhance data integrity and facilitate structured analysis.
• Collaborated with stakeholders to define business requirements and deliver analytical solutions.
• Generated weekly and monthly reports to enhance strategic decision-making and operational efficiency.
• Facilitated resolution of customer inquiries to enhance service delivery.

• Prepared and maintained financial statements, ensuring accuracy and compliance with accounting standards.
• Facilitated monthly, quarterly, and annual financial closing processes to ensure accuracy and compliance.
• Analysed financial data to uncover trends, variances, and discrepancies.
• Ensured accuracy of financial records through meticulous account reconciliation and resolution of discrepancies.
• Facilitated audit activities by compiling comprehensive financial documentation and detailed reports.
• Ensured compliance with accounting standards and policies through collaboration with cross-functional teams.
• Managed journal entries, ledger updates, and financial reporting within accounting systems.