Sachin Joshi

PEP Data Asset: Building end-end automated solution for PEP profile monitoring using LLM, advanced entity identification, and Machine learning. Improved the data field extraction for multiple entity types with an accuracy of 80%. Reduced man hour by 70% for creating a PEP profile.

Contract Management: Building a CLM tool to classify Legal contracts in various domains and extracting metadata with semantics for better negotiations using Image Classification, Text Analytics and Machine Learning.

Cognitive OCR: Achieved 75-80% accuracy by using Random Forest and XGBoost in classifying banking image documents and made them actionable in different UI as modifiable text data for verification and processing by the end-user. Developed and deployed classification models for classifying text image documents using Python, NLP, Machine learning and Image Processing. Worked in a team having clients associated with around 75 countries and regions expanding for all APAC, EMEA, and NA. FT Repair Analytics: Achieved 72% accuracy in predicting the error rate in Swift transactions using KNN and Text Analytics. Created Dashboards in python using flask for the user to review and correct these errors.

Wallet App: Designed and Developed Hybrid Mobile Wallet App for Android and iOS using Ionic, AngularJS, Java and SQL. Developed functionality by which in-app users can make or receive payments, request for pending payment or generate Invoices for clients.