Nilesh Acharya
Data Analyst - Manager (Mmgs Iii) @State Bank of India
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WORK HISTORY
Data Analyst - Manager (Mmgs Iii) @State Bank of India
Jaipur, IN
As a Data Analyst at India’s largest public sector bank, I specialize in leveraging data-driven insights to mitigate fraud risks and enhance digital payment security. My role involves a combination of data mining, applied statistics, and predictive analytics to proactively detect vulnerabilities and optimize transaction monitoring systems.Area of work includes following:Fraud Detection & Prevention: • Analyze fraud trends to develop mechanisms for identifying and preventing fraudulent activities. • Create predictive models and tools to detect fraud patterns and assess vulnerabilities in digital products. • Liaise with industry stakeholders to integrate best practices into fraud risk management frameworks. Data Analytics & Business Intelligence: • Conduct analysis of disputed transactions to refine monitoring systems. • Perform analytical studies on digital channel performance and product features. • Publish reports on fraud trends and develop performance metrics for monitoring systems.Predictive Modeling & Reporting: • Build models using structured and unstructured data to identify risks and opportunities. • Generate analytical reports, such as suspicious activity and fraud trend analyses, for senior management. Technology Enablement & Optimization: • Design dashboards to visualize data insights and support decision-making.
EDUCATION
Vyas Institute of Engineering & Technology, Jodhpur(Raj.)
Engineer’s Degree, Electronics and communication Engineering
ABOUT NILESH ACHARYA
I am a Data Analyst specializing in fraud detection, payment systems security, and digital transaction monitoring at India’s largest public sector bank. My role involves developing predictive models, and analyzing fraud trends to enhance the security of digital payment systems. I collaborate with cross-functional teams to identify vulnerabilities, implement fraud prevention mechanisms, and ensure the efficiency of transaction monitoring systems. Using advanced analytical techniques, I create actionable insights, design dashboards, and prepare comprehensive reports for top management. My work also includes evaluating system deficiencies, conducting performance analyses, and staying updated on industry fraud trends to introduce best practices into fraud risk management. Over my career, I have developed expertise in: • Data Analysis and Visualization: Creating dashboards and reports using tools like SQL, Tableau, and Python to simplify complex datasets and provide clear business insights. • ETL and Data Management: Extracting, transforming, and loading data from multiple sources to ensure accuracy and accessibility for analysis. • Predictive Modeling: Leveraging statistical and machine learning techniques to identify patterns, mitigate risks, and improve business outcomes. • Automation and Process Optimization: Streamlining workflows and reducing turnaround times through automation tools like VBA and other data solutions.
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