Papu Singh deo

Data Analyst with 4.8+ years of experience in fraud risk analysis, data investigation, and business intelligence. Proven track record of leveraging data to identify fraud patterns, reduce operational risks, and support strategic decision-making in high-volume environments. Experienced in transforming complex datasets into actionable insights through SQL, Python, Power BI, Tableau, and Excel. Throughout my career, I have analyzed large-scale transactional data, conducted root-cause investigations, developed performance reports, and collaborated with cross-functional teams to improve operational efficiency and risk controls. My background in fraud prevention has strengthened my analytical thinking, attention to detail, and ability to uncover hidden trends within data. In addition to professional experience, I have built end-to-end analytics projects involving healthcare fraud detection, customer analytics, credit risk analysis, marketing performance measurement, and predictive modeling. My expertise includes data cleaning, ETL processes, dashboard development, statistical analysis, and data visualization. I am currently seeking a fully remote Data Analyst role with a global team where I can apply my analytical skills, business acumen, and problem-solving mindset to help organizations make data-driven decisions and drive measurable business impact.