Mastercard International Incorporated

Ajay Panwar

Jaipal Singh Kumawat

Chandan Garg

Karamjit Singh

Tanmoy Bhowmik

Hemant Arora

Sandeep Parvathareddy

Aniruddha Mitra

Kamal Kant

Samarth Goel

Amit Somani

Padma Jadav

Raviraj Bhatt

Paras Rashmikant Vanjara

Sourabh Rajput

Embodiments provide methods and systems for determining prospective acquisitions among business entities using machine learning techniques. Method performed by server system includes accessing financial data items and news items associated with finances of business entities from data sources for particular time duration. Method includes generating financial and news feature vectors corresponding to business entities and applying machine learning models over financial feature vectors and news feature vectors associated with business entities for determining candidate set of business entities predicted to be engaged in business acquisition in future. Method includes creating dynamic bipartite knowledge graph for each distinct time durations within particular time duration and generating static bipartite knowledge graph based on dynamic bipartite knowledge graphs for distinct time durations. Method includes predicting occurrence of acquisition of at least one business entity of candidate set of business entities based on supervised machine learning model and static bipartite knowledge graph.

Machine learning models based methods and systems for determining prospective acquisitions between business entities

The invention provides systems, methods and computer program products for securing electronic transactions and users of electronic transaction services from phishing attacks by malicious attackers and fraudsters. A terminal device receives a first data communication comprising an OTP associated with a requested electronic transaction, and identifies a validity period associated with the OTP. The terminal device responds to detection of a second data communication between the terminal device and a remote entity during the identified validity period, by extracting content from the second data communication. The extracted content is analyzed and a risk decision is generated based on output of the analysis of the extracted content. The risk decision determines whether the remote entity comprises, or is controlled by, a malicious attacker. Responsive to the risk decision determining that the remote entity comprises, or is controlled by, a malicious attacker, the terminal device may initiate a risk mitigation process.

Systems, methods and computer program products for securing electronic transactions

Embodiments provide methods and systems for determining and displaying health status of a payment card. The payment card includes a planar body, an interconnection circuit, and a display section. The planar body houses a payment card processing section. The interconnection circuit is configured within the planar body. The interconnection circuit is configured to generate a damage signal in response to a physical damage of at least a portion of the planar body or the payment card processing section. The display section is positioned in the planar body for displaying a visual information indicating health status of the payment card in response to the damage signal for a cardholder.

Methods and systems for displaying health status of a payment card

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Gurgaon, India

Ajay Panwar