Fraud Resumes

Robbinsville Township, NJ
Yeshaswini Teella *******************@*****.*** +1-214-***-**** USA LinkedIn GitHub Professional Summary Software Engineer with 3+ years of experience building scalable and secure applications across trading analytics, fraud systems, and e- commerce ... - Apr 30

Hyderabad, Telangana, India
... Integrated Pub/Sub streaming for near real-time updates from Oracle transactional systems, enabling rapid fraud analytics capabilities. Collaborated closely with InfoSec to ensure data warehousing practices complied with PCI-DSS and SOX regulations ... - Apr 30

Girard, OH
... Built fraud detection and anomaly detection systems using ML models integrated into backend services. Developed predictive analytics solutions for forecasting trends and supporting business decision-making. Environment: C#, .NET Core 6/7/8, ASP.NET ... - Apr 30

Hyderabad, Telangana, India
... Scheduled and monitored data workflows using Airflow, ensuring timely and accurate delivery of data for fraud detection and compliance. Technologies Used: Linux, Oracle, Shell Scripting, Python, Airflow, Azure Data Factory, ADLS, Synapse, PySpark, ... - Apr 30

Alpharetta, GA, 30004
... • Healthcare & Finance Domain Tech: FHIR R4, HL7 v2 (COI), SMART on FHIR, OAuth2/OIDC, SAML, Cerner Millennium/Ignite APIs, Fraud & Risk Processing Systems, Powerchart, RevenueCycle • Testing & Observability: xUnit, NUnit, Selenium, Postman, ... - Apr 30

Collier Township, PA, 15142
... Implemented machine learning models using Python, Pandas, and Scikit-learn to analyze transaction patterns and support anomaly detection and fraud risk analysis. Collaborated with cross-functional teams of 10+ engineers in Agile environments, ... - Apr 30

Plano, TX, 75025
... Developed sophisticated SQL-based transformations for credit card fraud detection datasets, ensuring data accuracy and consistency. Orchestrated complex data workflows using Cloud Composer (Apache Airflow), automating data pipeline execution and ... - Apr 30

Dallas, TX
... AI/ML Engineer · Capital One (Financial Services), Dallas, TX June 2023 – April 2024 •Fraud & risk classification models: Trained and evaluated binary classification models (Gradient Boosting, XGBoost, Logistic Regression) on credit card transaction ... - Apr 30

Hyderabad, Telangana, India
... Wells Fargo July 2023 – May 2025 Machine Learning Engineer Engineered fraud-detection pipelines with Kafka, Spark Streaming, and Python, transforming event data into real- time features and reliable anomaly alerts for investigators daily at scale. ... - Apr 30

Fairborn, OH
... Governed dataset quality by enforcing schema checks, unit tests, and reconciliation queries, preventing downstream fraud-score distortions and improving trust among risk leadership teams weekly. Leveraged Oracle Exadata and Oracle to boost data ... - Apr 30