Seniority
Staff
Department
Information Technology
Location
Canada
Industry
Banking
Company size
47K
Contact information
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s•••••••@••••••.com
Phone
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Background
About Sasmita Behera
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 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.
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