Sandipani Dey

About Sandipani Dey

Data-driven Business Analyst with 3+ years of experience in banking and financial services, specializing in payments, fraud analytics, and real-time transaction processing systems. Experienced in working with high-volume financial datasets and regulatory-driven environments. Strong expertise in SQL, Python, Power BI, AWS, Excel, ETL pipelines, and data modeling, with hands-on experience in Apache Spark and Apache Kafka for building scalable data solutions. Skilled in analyzing millions of transactions across SWIFT, ISO 20022, ACH, and RTP payment networks. Delivered measurable business impact by reducing reporting latency by 40%, improving fraud detection accuracy by 22%, and optimizing transaction processing workflows, enabling faster and more reliable financial operations. Proven ability in requirements gathering, stakeholder management, Agile/Scrum, UAT testing, data validation, and regulatory compliance, ensuring alignment between business needs and technical solutions in financial environments. Built interactive dashboards, automated reporting systems, and scalable data pipelines that improved decision-making, reduced manual effort, and enhanced operational efficiency across cross-functional teams. Actively seeking Data Analyst / Business Analyst roles in the US (W2 & Full-time) within banking, fintech, and financial services organizations, focusing on data-driven insights, risk analytics, and scalable systems.

Experience

1. Business Analyst

   Goldman Sachs

   Aug 2025 — Present

   Analyzed and translated transaction banking requirements into BRD/FRD and API specifications, improving payment processing speed by 95% using SQL, Postman, FedNow APIs, Plaid, Stripe, and Agile methodologies.• Designed and optimized real-time payment workflows using ISO 20022, SWIFT gpi, and RTP networks, reducing settlement cycles from T+1 to seconds by implementing Kafka, AWS Lambda, microservices architecture.• Collaborated and evaluated fraud detection requirements with stakeholders, increasing detection accuracy by 22% by integrating XGBoost models, Python, Visa fraud APIs, Apache Spark, and Databricks.• Developed and documented data mapping, lineage, and liquidity forecasting requirements, improving forecast accuracy by 30% using Snowflake, SQL, Python, Power BI, and embedded finance analytics platforms.• Led and facilitated stakeholder workshops and Agile ceremonies, accelerating delivery timelines by 25% using Jira, Confluence, backlog prioritization, user story refinement, and fintech API integrations across teams.• Implemented and streamlined KYC/AML onboarding workflows, reducing manual effort by 40% by integrating LexisNexis, Refinitiv, Plaid Identity APIs, NLP models, and automation pipelines within AWS cloud environment.• Performed and delivered gap analysis and UAT validation for legacy migration, improving system reliability by 35% using SQL validation, Postman, Stripe APIs testing, and CI/CD pipelines (Jenkins, Docker, Kubernetes).

Education

• SVPT's Saraswati Vidyalaya & Jr. College

  Higher Secondary Education, HSC Science

  2015 — 2017

• Illinois Institute of Technology

  Master's degree, Information Technology and Management

• Manipal University Jaipur

  Bachelor of Technology - BTech, Electronics and Communications Engineering

  2017 — 2021