{"handle":"user-h5xi5t","display_name":"Ankita Singh","headline":"Staff Machine Learning Scientist at Visa Inc.","bio":"I build production-grade machine learning systems for payments, fraud detection, credit risk, underwriting, NLP, and Generative AI. I develop large-scale risk and decisioning systems, including fraud models monitoring 55M+ daily transactions and underwriting solutions supporting global BNPL products.","location":null,"company":"Visa Inc.","role":"Staff Machine Learning Scientist","open_to":null,"languages":null,"skills":["Python","SQL","R","SAS","C++","Fraud Detection","Credit Risk","NLP","Deep Learning","LLMs","Agentic AI","XGBoost"],"positions":[{"title":"Staff Machine Learning Scientist","company":"Visa Inc.","location":null,"start_year":2025,"start_month":4,"end_year":null,"end_month":null,"description":"Led development and productionization of a fraud detection system for card enumeration attacks across the Latin America & Caribbean region using a hybrid Variational Autoencoder and MLP architecture. Built anomaly detection models operating on approximately 55 million payment transactions daily."},{"title":"Machine Learning Scientist 2 → Machine Learning Scientist 3","company":"PayPal","location":null,"start_year":2021,"start_month":5,"end_year":2025,"end_month":3,"description":"Built and deployed real-time risk decisioning models for New-to-PayPal customers applying for BNPL loans across eight countries. Developed affordability assessment models using LightGBM and built the Pay Monthly underwriting model for the US BNPL product."},{"title":"Data Scientist (AGM)","company":"Vodafone Idea","location":null,"start_year":2019,"start_month":7,"end_year":2021,"end_month":4,"description":"Developed churn prediction, recommendation, sentiment analysis, and text-mining solutions for customer retention and revenue optimization. Applied machine learning and NLP techniques to derive actionable insights from customer interactions, campaigns, and feedback data."},{"title":"Consultant 1","company":"EXL Services","location":null,"start_year":2018,"start_month":7,"end_year":2019,"end_month":6,"description":"Built spend propensity models for a Fortune 500 banking client using XGBoost to predict card-member spending behavior and support targeted customer acquisition campaigns. Developed machine learning and analytics solutions for banking and financial services clients using Python, SAS, Hive, and SQL."}],"education":[{"school":"Indian Institute of Technology, Roorkee","degree":"B.Tech.","field_of_study":null,"start_year":2014,"end_year":2018,"description":"GPA: 8.13/10"}],"work_email":"ankita6412@gmail.com","phone":"+91 7060334672","calendar_url":null,"website_url":null,"linkedin_url":null,"x_url":null,"github_url":null,"locked":[],"contact_visibility":"open","unlock_price_cents":null,"call_price_cents":null,"accepts_hiring_messages":true,"work_verified":false,"work_verified_domain":null,"is_public":true,"owned":false,"created_at":"2026-09-19T19:00:19.507907Z","agents":[],"agent_count":0,"follower_total":0,"posts":[],"posts_total":0}