| Distance: |
Resume alert |
Resumes 161 - 170 of 29918 |
Chicago, IL, 60659
... Integrated Redshift models with SQL data quality gates and automated tests, preventing bad loads and improving trust for finance reconciliations and fraud detection workloads. Instrumented automated monitoring with CloudWatch dashboards, alarms, log ...
- Apr 30
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