Shreyas Raghavan

CEO

Bengaluru, Karnataka, India3 yrs 2 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing AI models for credit risk management.
Led teams to create innovative analytics platforms.
Strong background in machine learning and data analytics.

Stackforce AI infers this person is a Fintech professional with expertise in machine learning and data analytics.

Contact

Skills

Core Skills

Data AnalyticsMachine LearningLeadership

Other Skills

Data Analytics using PythonRDeep LearningPythonSparkBig DataArtificial Intelligence (AI)Statistical ModelingAgenticLarge Language Models (LLM)BERT (Language Model)MicroservicesTeradata SQLData StructuresC++

About

PayPal’s team benefits from advanced machine learning tools designed to enhance credit risk management and portfolio workflows. By developing agentic AI models and deploying robust strategies, the team ensures seamless production integration and improved automation in underwriting decisions. Leveraging a MTech in Data Science and Engineering from BITS Pilani, the focus remains on exploring large language models and statistical techniques within credit systems. The goal is to contribute to innovations that drive efficient, compliant, and data-driven financial solutions.

Experience

3 yrs 2 mos

Total Experience

3 yrs 2 mos

Average Tenure

Current Experience

Full-time

PayPal

– Present

Srm university

Visiting Faculty

May 2022 – May 2023 · 1 yr · Chennai, Tamil Nadu, India

Visiting faculty at SRM University for Risk Analytics for their M.Tech program with Great Learning.

Data Analytics using PythonData Analytics

D&b technologies & data services

3 roles

Senior Data Scientist

Promoted

Sep 2020 – Aug 2021 · 11 mos

Leadership & Mentorship: Lead and manage a team of 10 data scientists, delegating tasks, providing guidance, and mentoring junior members to ensure delivery of high-quality Credit/Risk solutions.
End-to-End Model Development: Oversee the full model lifecycle — from data exploration, feature engineering, and model building to validation, deployment, and performance monitoring.
Cross-Functional Collaboration: Partner with business stakeholders, product managers, engineers, and IT teams to define requirements, integrate solutions into existing infrastructure, and deliver actionable insights.
Advanced Analytics Expertise: Apply statistical methods, machine learning, and predictive modeling to develop innovative Credit/Risk solutions, while staying current with emerging trends and best practices.

Data Analytics using PythonRMachine LearningDeep LearningPythonSpark+4

Data Scientist

Promoted

Feb 2019 – Sep 2020 · 1 yr 7 mos

Leadership & Platforms: Leading a team of Data Scientists to build Analytics-as-a-Service platforms and tools that enable non-technical users to develop and deploy ML models.
Machine Learning Solutions: Designed and deployed ML models for Fortune 50 companies (e.g., T-Mobile, AT&T, Microsoft) in risk management, fraud detection, and marketing (e.g., Wex, Walmart).
Risk & Fraud Innovations: Created advanced frameworks combining traditional risk models with ML, including entity resolution solutions to detect fraudulent companies, and large-scale implementations like risk models for the UK Government.
Data & Knowledge Sharing: Developed smart data systems integrating 4000+ sources for accurate risk insights, while also conducting regular training sessions on Python and ML for in-house teams.

Data Analytics using PythonRMachine LearningDeep LearningPythonSpark+4

Data Analyst (Trainee)

Jun 2018 – Feb 2019 · 8 mos

As an Analyst , Shreyas was a part of the D&B's transformation journey towards advanced analytics and Machine Learning models and products on Risk / Fraud Detection and D&B Flagship products.
Shreyas has been part of key D&B flagship products such as Global Business Ranking.
https://www.dnb.com/content/dam/english/dnb-solutions/risk-management/DNB_Global_Business_Ranking_Fact_Sheet.pdf

Data Analytics using PythonPythonStatistical ModelingData Analytics

Udacity

Independent Consultant

Mar 2018 – Jan 2019 · 10 mos · Chennai , India

As a consultant to Udacity, My routine includes mentoring students in the field Data Science and also provide project reviews and other student support services.

Data Analytics using PythonPythonData Analytics

Lateshipment.com

Data Scientist Intern

Jan 2018 – Apr 2018 · 3 mos · Chennai, Tamil Nadu, India

Lateshipment is a product based company and are mainly responsible for claiming automatic refunds for delivery irregularities caused by the carrier provider with over 25 million shipment packages tracked so far.
As a Data Scientist (Intern) , I worked on cleaning data , modelling and tracking performance of various shipment companies (FedEx , UPS , DHL ) in US and Canada region. Responsible to bring insights for Marketing team by generating reports.
As well as building a system to automate report generation for clients as a support method for decision making while choosing carriers.

Data Analytics using PythonPythonData Analytics