Experience

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  Infosys

  Sept 2020 - Jul 2023

  Business analyst

  Constructed and automated financial data pipelines using SQL, Python, and Snowflake to enable real-time transaction monitoring,increasing operational efficiency by 18%, reducing delays, and enhancing data accuracy across reports.• Built responsive executive-level dashboardsin Power BI providing actionable insights into credit usage patterns and customerbehavior, improving reporting accuracy by 35% and enabling faster decision-making.• Led cross-functional collaboration to define BRD/FRD specifications, engaging with stakeholders, engineers, and product teamstostreamline processes, reducing project delays by 25% and improving cross-team alignment for better execution.• Engineered and deployed customer segmentation models using Python analyticsto track spending behaviors, credit risk, and loyaltypatterns, optimizing retention strategies and boosting customer engagement rates by 22%.• Implemented ETL workflows with Informatica and Alteryx to standardize, automate, and accelerate data transformations,reducing processing timeby45% while improving data integration across cloud and on-premisessystems.• Orchestrated data governance frameworks with strict enforcement of GDPR, CCPA, and ISO 27001 compliance, improving auditreadiness, minimizing privacy risks, and maintaining 99.8% accuracy in financial and customer records.• Integrated Microsoft Power Platform and JIRA for process automation and seamless business reporting, reducing manual reportingtasks by 50%, increasing operational efficiency, and optimizing enterprise-wide data visibility.• Partnered with finance, product, and operationsteamsto align businessintelligence strategies with real-time analytics, predictive modeling,and workflow automation, improving data utilization efficiency by 15% and enhancing KPI tracking. Show less

• 

  Dwolla

  Dec 2023 - now

  Business analyst

  Designed, automated, and optimized financial data pipelines using SQL and Python improving data processing speed by 50%,reducing manual errors, and enhancing transaction reporting accuracy.• Developed interactive KPI dashboards in Tableau to track payment trends, fraud patterns, and revenue insights, enabling executivesto make data-driven decisions 30% faster and mitigate risks proactively.• Gathered, analyzed, and translated complex business requirementsthrough stakeholder workshops, data mapping, and impactassessments, refining data models and reducing project turnaround time by 25%.• Applied predictive analytics using machine learning modelsfor fraud detection, anomaly identification, and risk assessment,enhancing fraud detection accuracy by 20% and reducing chargeback disputes.• Established and enforced enterprise-wide data governance policies, ensuring compliance with GDPR, SOX, and PCI-DSSregulations, improving audit readiness, data security, and achieving 99.9% accuracy in financial reporting.• Enhanced data security and access control by implementing RBAC, metadata management, and automated validation frameworks,ensuring secure data handling, regulatory compliance, and improved system integrity across departments.• Created and refined detailed user stories, acceptance criteria, and test cases, collaborating with QA teams and developersto ensureseamless software functionality, requirement traceability, and improved user experience across financial systems.• Collaborated with stakeholders and end-usersto plan and execute User Acceptance Testing (UAT), identifying gaps, gathering feedback,and ensuring seamless system functionality, leading to faster issue resolution and improved adoption of business intelligence solutions. Show less