Sumanath

About Sumanath

Over 5 years of experience as a data analyst delivering actionable insights from large,…

Experience

1. Data Analyst

   JPMorganChase

   May 2023 — Present · CA, US

   Queried and analyzed high-volume datasets (100M+ rows) across credit cards, personal loans, and checking accounts using advanced SQL, Snowflake, and window functions to uncover actionable insights in customer behavior, transaction trends, fraud patterns, and channel engagement.• Designed and deployed over 15 Power BI dashboards for internal audit, tax, and advisory teams, integrating data from Excel, SQL Server, and SharePoint to visualize project profitability, billable hours, utilization rates, SLA breaches, and team performance in real-time.• Developed and managed automated ETL pipelines using Python, Apache Airflow, and AWS S3, enabling ingestion and transformation of structured/unstructured data from CRM, internal APIs, and external partners into data lakes and lakehouse architectures for centralized analytics consumption.• Defined 35+ custom KPIs across customer onboarding, churn rate, credit utilization, CAC, LTV, and application-to-approval conversion, directly supporting improvements to risk policy, marketing campaign targeting, and customer experience strategies.• Applied predictive modeling techniques (e.g, ARIMA, Random Forest, K-Means Clustering, logistic regression) using Python’s Scikit-learn and Statsmodels to forecast default probability, customer segmentation, cash flow volatility, and cross-sell potential.• Collaborated with platform engineering and data quality teams to conduct root cause analysis on delayed loads, schema mismatches, and record duplications, implementing fixes that reduced SLA breaches by 40%.• Built data quality monitoring scripts with Pandas and Pytest, integrated anomaly detection into Airflow DAGs to proactively identify integrity issues and anomalies, improving data reliability and downstream report accuracy.• Partnered with legal and compliance teams to enforce data privacy standards, implementing PII encryption, user-level access controls, data catalogs, and GDPR/SOX documentation for all data pipelines.