Part of the fincrime (Fraud and Surveillance) data science team team to develop solutions for Anti-money laundering and financial crimes.

Part of core customer success and research/development team to have engagement with clients and stakeholders to deploy cutting-edge AI products (Anti Money Laundering & Reconciliation Suite) to produce results in Banks and Financial institutions.

• Developing an end-to-end solution utilizing scalable and high-performance predictive analytics/machine learning algorithms to build models for tracking fraudulent accounts and transactions in financial institutions.

• Worked in an Agile environment and different software engineering techniques with clients across the globe.
• Working closely with the business leaders for providing solutions on different domains using Predictive modeling techniques such as Linear, Logistic, Decision Trees, Random Forest, SVM, KNN, and XGBoost.

UpGrad is an online education platform for working professionals, where we provide the most industry-relevant and in-demand programs delivered in an extremely engaging manner through the online medium. My role, as an Upgrad Xpert (For Post-Graduate Diploma in Machine Learning and Deep Learning), is to mentor students by conducting focused teaching and career guidance sessions and help them progress within their program, and their Data Science Career