Sayan Tarafdar

I am a Data Analyst with over seven years of experience in business intelligence, data analytics, and data engineering across banking, consulting, and not-for-profit sectors. Throughout my career, I have worked with organizations including National Australia Bank, Capgemini, and Fundsorter, delivering data-driven solutions that improve reporting, streamline processes, and support strategic decision-making.

My technical expertise includes SQL, Python, Power BI, Tableau, Microsoft Fabric, Azure Data Factory, Spark, and ETL pipeline development. I have built interactive dashboards, designed scalable data models, automated reporting workflows, and developed data pipelines that transform complex datasets into meaningful business insights. I enjoy solving challenging problems by combining analytical thinking with a practical approach to data.

Most recently, I have been working on funding intelligence and charity-sector analytics, building data pipelines, cleaning and validating large datasets, and analyzing more than 45,000 charity records to uncover trends and support research-driven decision-making.

I thrive in collaborative environments where I can work closely with stakeholders to understand business needs and deliver high-quality analytical solutions. I am passionate about continuous learning, exploring emerging technologies such as AI and modern cloud data platforms, and applying them to solve real-world business challenges. I am currently seeking opportunities where I can contribute my analytical expertise while continuing to grow as a data professional.