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• Performed data analysis and Exploratory Data Analysis (EDA) on large-scale market, operational, and financial datasets (100K+ records)
to identify trends, patterns, and performance drivers.
•Developed and maintained Power BI dashboards, data visualizations, and KPI reports, improving reporting efficiency and reducing
decision-making time by 25%.
• optimized SQL queries, joins, and data pipelines for data extraction, data transformation, and data loading (ETL) processes with 99%
data accuracy.
•Utilized Advanced Excel (Power Query, Pivot Tables, XLOOKUP) for data cleaning, data validation, and automated reporting, reducing
manual effort by 40%.
•Applied Python (Pandas, NumPy) for data preprocessing, data wrangling, and workflow automation to enhance analytical efficiency.
•Conducted data validation, data reconciliation, and quality assurance checks across multiple systems to ensure reliable business
intelligence outputs.
•Collaborated with cross-functional teams including FP&A, Product, Operations, and IT to gather requirements, provide stakeholder
reporting, and deliver business intelligence solutions.
•Created performance reports, dashboards, and presentations to communicate insights and support data-driven decision-making.
•Worked in an Agile environment, including sprint planning, iterative development, and stakeholder reviews.
•Contributed to process improvement, report automation, and reporting framework optimization initiatives.
• Ensured data governance, documentation, and adherence to reporting standards for consistency and audit readiness.
•Delivered clear, concise analytical insights to technical and non-technical audiences, supporting leadership in making data-driven decisions.
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