Experienced Data Analyst with expertise in SQL, Python, and machine learning techniques. Led successful projects processing 100K+ transactions with 95% accuracy, utilizing advanced statistical analysis and data visualization tools. Collaborated on ML-based sales forecasting, resulting in a 5% increase in efficiency. Ensured data integrity through robust validation procedures and effectively communicated insights to stakeholders. Implemented A/B testing strategies to drive revenue growth. Proficient in cross-functional collaboration and dynamic problem-solving. Demonstrated track record of delivering actionable insights to inform strategic business decisions and optimize operations. Strong analytical skills coupled with a passion for leveraging data-driven approaches to achieve organizational objectives.

Accomplished Data Analyst proficient in ETL pipeline development, dashboard launches, and quality assurance analysis projects. Leveraged SQL Server and Python to manage the development of ETL pipelines, focusing on client records across various metrics and KPIs. Developed Extract/Transform/Load packages to model data and migrate approximately 1.6 million clean records from Dropbox into SQL Server data warehouse using SSIS.Utilized Tableau to implement real-time KPI tracking dashboards, actively seeking feedback to enhance operational efficiency by 15%. Created multidimensional SQL cubes with SSAS to calculate key engagement metrics, presenting insights to business stakeholders through Tableau dashboards.Proactively executed ad-hoc analytics using SQL queries, resulting in a 10% improvement in dashboard performance. Excels in translating complex data into actionable insights to drive informed decision-making and business growth.