Kamesh D.

Associate Consultant

Mumbai, Maharashtra, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in financial risk management and model validation.
Proficient in AI-driven solutions for the insurance sector.
Strong foundation in statistics and machine learning from IIT Bombay.

Stackforce AI infers this person is a Fintech and AI specialist with a focus on risk management and data-driven solutions.

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Skills

Core Skills

Credit Risk ManagementRisk AnalyticsGenerative AiLarge Language Models (llm)

Other Skills

PSIGiniChi-squareBinomial testsRAGNLPBERTReal AnalysisCalculusNumerical AnalysisFinancial MarketsFinancial DataModel RiskInternational Financial Reporting Standards (IFRS)Basel III

About

I am currently working as an Associate Consultant in the Financial Risk Management team at KPMG India, focusing on the validation of Scorecard and ECL models. My work involves ensuring model accuracy, transparency, and regulatory compliance. Previously, I completed my M.Sc. in Applied Statistics and Informatics from IIT Bombay (2022–2024), where I developed a strong foundation in Statistics and Machine Learning. Before joining KPMG, I interned at Bluepond AI, where I worked on the development of GenAI solutions for the insurance domain, including an Excel-integrated RAG chatbot and an NLP-based extraction system that automated the extraction of key fields from insurance documents. I’m passionate about applying statistical rigor and AI to solve complex business problems and create transparent, data-driven solutions. Always open to connecting with professionals in AI, data science, and financial analytics to learn and collaborate.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Kpmg

Associate Consultant

Jun 2025 – Present · 11 mos · Mumbai, Maharashtra, India · On-site

Working With KPMG Germany
Projects: Graph RAG and AI Agents
Project With KPMG Assurance and Services LLP
Conducted quantitative validation of 10+ loan scorecards and ECL models using PSI, Gini, Chi-square, and Binomial tests to assess model performance and conceptual soundness, ensuring compliance with IFRS-9 and Basel model-risk frameworks.
Automated the validation workflow, delivering complete quantitative validation results in a client-ready format and improving turnaround efficiency.
Prepared and presented detailed model-validation reports summarizing key findings, insights, and recommendations to clients and internal stakeholders.

Credit Risk ManagementRisk Analytics

Bluepond ai

Data Scientist

Apr 2025 – May 2025 · 1 mo · Chennai, Tamil Nadu, India · On-site

Worked on two AI projects for the insurance domain
Built a chatbot that cleans and processes Excel files to provide insights and visualizations using RAG.
Created a data pipeline to extract, clean, and standardize Statement-of-Value (SoV) Excel files.
Fine-tuned a BERT model (99.5% F1) to filter non-insurance queries before sending them to APIs.
Worked on building and integrating an extraction tool that pulled 30+ key fields from insurance documents, reducing manual review time.
Improved the document reader using NLP to fix issues like omitted spaces and formatting errors.

Generative AILarge Language Models (LLM)