AAYUSH SINGHAL

Associate Consultant

Gurugram, Haryana, India6 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in payments analytics and fraud detection.
Proven track record in machine learning and predictive modeling.
Strong analytical skills driving business impact.

Stackforce AI infers this person is a data-driven consultant specializing in Fintech and payments analytics.

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Skills

Core Skills

Machine LearningPayment IndustryAnalytical SkillsComputer VisionDeep Learning

Other Skills

AlgorithmsArtificial Intelligence (AI)Big Data AnalyticsC++Data AnalysisData ScienceData StructuresHadoopPython (Programming Language)SQLStatistics

About

Data Science | Payments Analytics | Consulting | Fraud & Risk I am a data-driven consultant specializing in payments, financial analytics, and machine learning. At Mastercard Advisors, I help banks, fintechs, and merchants optimize authorization, fraud detection, and market share strategies using predictive modeling and data insights. 🔹 Key Projects: ✔ Built ML-driven contactless adoption strategies for Indonesia ✔ Optimised authentication, authorisation & fraud strategies for a global tech giant across 10 European markets ✔ Designed spend prediction models for a leading bank Skilled in Python, SQL, and machine learning, I’m passionate about leveraging data to drive business impact. Always open to new opportunities & collaborations! 🚀

Experience

American express

Senior Analyst

Jul 2025 – Present · 8 mos · Gurugram, Haryana, India · Hybrid

Mastercard data & services

2 roles

Consultant

Promoted

Mar 2024 – Jul 2025 · 1 yr 4 mos · Gurugram, Haryana, India

Analytical SkillsHadoopMachine LearningBig Data AnalyticsPython (Programming Language)Payment Industry

Associate Consultant

Jul 2022 – Mar 2024 · 1 yr 8 mos · Gurugram, Haryana, India

Python (Programming Language)HadoopPayment IndustryAnalytical Skills

Ai india innovation center

Computer Vision Intern (Research)

Jun 2021 – Aug 2021 · 2 mos · Pune, Maharashtra, India

Worked on Deep Image Prior paper which shows that a randomly-initialized neural network can be used as a handcrafted prior with excellent results in standard inverse problems such as denoising, super-resolution, and inpainting and developed a model which can remove watermarks with great accuracy.
Wrote a paper on AI in Banking, Financial Services and Insurance (BFSI), and modeled an oﬄine writer independent signature veriﬁcation task with the help of a convolutional Siamese network.

Captheon

Machine Learning Engineer

Dec 2020 – Feb 2021 · 2 mos · Mumbai, Maharashtra, India

Worked on AI-based deal management solutions for private funds which features tools for data aggregation, research, logic-building, due diligence, analyses global databases, evaluates investment decisions, and also provides insights, personal fund managers, and servers for investment simplicity.
Designed and implemented machine learning pipeline to generate insightful features, and built well-tuned models to provide company's Market Intel, eﬃciency and value of company's management, determine the quality of deal in terms of the opportunity it presents, etc.