Sai Teja M
Data Analyst at JP Morgan Chase
- Role
- Data Analyst at JPMorganChase
- Location
- Dayton, OH, US
- LinkedIn followers
- 500 followers
About Sai Teja M
Hello there! I’m a Data Analyst with 4+ years of experience turning messy data into clear insights. I’ve worked with tools like Python, Hadoop, SQL, Power BI, AWS, and Azure to build dashboards, automate data pipelines, and support smart decision-making—mostly in finance and healthcare. I enjoy solving real-world problems with data and love making complex things simple and useful.ThanksSai Teja Makloor
Experience
Data Analyst
Aug 2022 — Present · OH, US
Designed and maintained automated ETL pipelines using Python for ingesting and transforming real-time transaction data, resulting in improved data accuracy, consistency, and availability for fraud analytics.• Utilized Amazon Web Services (AWS) tools including S3 for secure data storage, AWS Glue for data cataloging and transformation, and AWS Lambda to automate pipeline execution and alert notifications.• Reduced manual data preparation time by 40% by streamlining workflows with Alteryx, enabling faster fraud pattern detection and increased analyst productivity.• Developed data integration workflows using SQL Server Integration Services (SSIS) to extract data from on-premises systems and load into the Snowflake data warehouse for centralized analytics.• Built and deployed interactive Power BI dashboards to monitor fraud related KPIs such as unusual transaction volume, geo-location mismatches, and velocity patterns, supporting real-time decision-making.• Applied time-series forecasting and A/B testing techniques using SciPy and Statsmodels in Python to simulate fraud detection scenarios and evaluate rule performance, increasing system reliability by 20%.• Ensured compliance with industry regulations including FINRA, PCI-DSS, and SOX by implementing secure data governance practices and anonymization protocols across the analytics workflow.
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