• Architected a text analytics sanctions screening solution to identify and block sanctioned payments (SWIFT, SEPA, KIPS and other payment methods) by cross verifying against central bank and Thomson Reuters databases using agile methodology.• Developed a real-time Named Entity Recognition (NER) system in SOLR and SAS using advanced Natural Language Processing (NLP) techniques to detect entities such as names, countries, cities, and sanctioned terms from unstructured text. • Achieved 100% precision by incorporating fuzzy matching algorithms for phonetic and spelling variations, ensuring detection of entities with 80% or higher similarity.• Formulated business rules to intercept flagged transactions in real-time and conceived progressive improvements to the model engine to achieve 100% true positive detection and recall as one.• Optimized processing times of payment messages within 50ms to 100ms and nonpayment messages within 500ms to 1000 ms, enhancing the operational efficiency of the solution. • Functioned as an Analytics and Sanctions subject matter expert, leading data-driven requirements gathering and system integration testing (SIT/UAT) for production deployments.• Collaborated with Compliance teams to analyze and understand patterns of money laundering activities, developing data-driven rules and strategies for anti-money laundering (AML) detection. Resulting in a 25% increase in the identification of suspicious transactions and enhanced the overall effectiveness of AML processes.

• Led the development and deployment of an advanced system using SAS that automated market risk calculations across financial instruments for a banking client, resulting in 20% reduction in processing time.• Engineered, executed, and refined SAS programs for data Extraction, Transformation and Loading (ETL) pipelines to ensure compatibility with report generation processes and reduce execution time from 3 hours to <1 hour.

Primary deliverables of the profile entailed doing the following tasks using Talend Open Studio:• Extraction of Data from multiple data sources like .xlsx, .txt, .csv, etc.• Validation of Data.• Mapping of Data from single/multiple Input sources to Output source.• Loading of data onto MS SQL DB or writing to a .csv or .txt file.• Automation of all the above processes.

Primary deliverables of the profile entailed doing the following tasks:• Organizing and managing workshops - An Ethical hacking workshop. - A Tip & Tricks seminar (Given by Shaunak Thakar & me). - A seminar on the deep web (Given by me). - A Quiz competition. - An animation Workshop. • Co-Head of Computer department Felicific 2016(A tech & cultural fest). - Managing all the events in CE department. - Head of event HardwareRush (A treasure hunt based on Computer Hardware). - Head of Sponsorship CE Department.

Primary deliverables of the profile entailed Training the following tasks in Java:-Working with Struts in Java EE.-Using Hibernate with Oracle DB in Java (ORM).