Tejaswini Srivastava

• Quality Assurance Lead providing oversight reporting metrics to Team Lead/GFC Testing Managers
• Review GFC completed tests to ensure accuracy of results and address process improvements
• Strong commitment to the Enterprise Independent Testing (EIT) standards and GFC Testing QA process and procedures, including influencing and adapting to new processes
• Review for capacity and provide testing assignments for the QA team
• Assess and provide clear and complete feedback to GFC Testers/Test Owners for executed tests
• Versed in Anti-Money Laundering (AML) and Financial Crimes impacting GWIM, MLWM, US Trust, GBAM and Retail and Small Business Compliance
• Support QA testing transition from manual testing to the ORCIT system
• Responsible for dual roles with QA and Testing Quality Assurance Oversight Program
• Co-Reviewer of Targeted Reviews supporting the development of testing strategies to conduct independent reviews of EIT’s end-to-end testing documentation and artifacts under the Quality Assurance Oversight Program

• Developed and implemented customer service strategies to enhance client satisfaction.
• Trained new employees on banking policies and procedures to ensure compliance and operational efficiency.
• • Quality Assurance Lead providing oversight reporting metrics to Team Lead/GFC Testing Managers• Review GFC completed tests to ensure accuracy of results and address process improvements• Strong commitment to the Enterprise Independent Testing (EIT) standards and GFC Testing QA process and procedures, including influencing and adapting to new processes• Review for capacity and provide testing assignments for the QA team• Assess and provide clear and complete feedback to GFC Testers/Test Owners for executed tests• Versed in Anti-Money Laundering (AML) and Financial Crimes impacting GWIM, MLWM, US Trust, GBAM and Retail and Small Business Compliance• Support QA testing transition from manual testing to the ORCIT system• Responsible for dual roles with QA and Testing Quality Assurance Oversight Program• Co-Reviewer of Targeted Reviews supporting the development of testing strategies to conduct independent reviews of EIT’s end-to-end testing documentation and artifacts under the Quality Assurance Oversight Program

• Developed mainstream application using SOAP web services for efficient data retrieval and XML output generation.
• Created web applications using ASP.NET and C#.NET, identifying reusable components and adhering to best practices.
• Implemented state management through ASP.NET sessions and caching while leveraging .NET AJAX for content representation.
• Developed action filters and routes within ASP.NET MVC, following the model-view-controller architecture.
• Designed user interfaces with ASP.NET Web Forms, incorporating diverse data types and spreadsheet views.
• Collaborated with business partners to review requirements and prepare specification documents, aligning project goals with stakeholder expectations.
• Provided technical support and maintenance for 25+ .NET applications, resolving Checkmarx-identified issues to ensure system reliability.
• Onboarded applications for CI/CD using XLR Trains

• Employed machine learning algorithms with scikit-learn, numpy, pandas to identify deceptive speech patterns.
• Extracted meaningful features via NLP methods including speech-to-text and sentiment analysis.
• Developed backend deception detection system achieving ninety-two percent accuracy through voice and behavioral analysis.
• Built comprehensive models incorporating behavioral biometrics like speech intonation and word usage.
• Enhanced datasets through rigorous preprocessing and feature engineering techniques.
• Implemented RESTful APIs using Flask and Django facilitating efficient data exchange.
• Streamlined code execution using asyncio and multithreading, improving system efficiency.
• Managed deployments with Docker containers and maintained code quality via pytest and Jenkins CI.

• Utilized Apache Spark for large-scale data processing, executing ETL operations and real-time analytics with PySpark and Scala to enhance data accessibility.
• Developed data pipelines with Apache Kafka, implementing real-time data ingestion and stream processing, ensuring high-throughput and fault-tolerant messaging systems.
• Designed and maintained data lakes and data warehouses using Hadoop Distributed File System (HDFS), ensuring scalable and secure data storage solutions.
• Worked extensively with Hadoop for managing and processing large datasets, implementing MapReduce jobs to efficiently handle data across distributed clusters.
• Built and managed Scala-based applications for high-performance data manipulation and transformation, integrating with Spark for fast and scalable processing.
• Implemented data partitioning, bucketing, and indexing in Hadoop environments to optimize query performance and improve data retrieval efficiency.
• Deployed and monitored Kafka topics, partitions, and consumers for real-time data streaming, ensuring reliable and consistent data ingestion across systems.
• Leveraged Apache Hive and Apache Impala for querying large datasets in a SQL-like environment, improving the accessibility and analysis of big data.
• Ensured data pipeline reliability by implementing fault tolerance and data validation mechanisms, using checkpointing in Spark to uphold data integrity.
• Environment: Hadoop, Apache Spark, Scala, Apache Kafka, Pentaho, HDFS, Apache Hive