Sasmita Behera Email & Phone Number

As a results-driven professional with a strong analytical mindset and over 5 years of experience in Data Analysis, Risk Management, and Project Management, I leverage my expertise to drive business growth, improve operational efficiency, and inform strategic decision-making. With a solid foundation in data-driven insights and a keen eye for process optimization, I excel at developing and implementing data-informed solutions that meet business objectives. Currently, I am pursuing a Master of Applied Computing at the University of Windsor, where I am expanding my technical skills in data science and machine learning to further enhance my ability to drive business value.At Amazon Development Centre, I specialized in analytical skills, ETL processes, risk management, and data analytics tools, managing large datasets and focusing on fraud detection through SQL Server. I developed quantitative payment pipeline ML regulatory and compliance protocols and algorithms for financial analysis and planning, boosting team analytic capabilities and enhancing platform security. My strong problem-solving expertise and collaboration with stakeholders streamlined report optimization processes and advanced analytics for enhanced risk analysis.In addition to my professional experience, I have showcased my technical expertise by building projects such as the Payment Risk Shield, HarvestPro Prediction model and Airbnb Data Analysis, leveraging technologies like Python, MongoDB, Flask API, and PowerBI to deliver actionable insights and optimize decision-making. My technical skills encompass Python, Java, R, SQL, MongoDB, PowerBI, Tableau, Lean Six-Sigma and Agile methodologies, which I effectively utilize to drive business success.I am passionate about data-driven decision-making and committed to continuous learning and professional growth. I am eager to contribute to innovative projects and collaborate with cross-functional teams to achieve business objectives. Let's connect to discuss how we can work together to drive success in the dynamic field of data analytics and engineering.