You will get Fraud Detection AI/ML Strategy development, Model Audit & Benchmark Report
Project details
What makes this audit different: most fraud ML reviews come from generalists or vendors with something to sell. This one is from a senior practitioner who has actually owned production fraud models at Tier-1 global banks across APAC, the Middle East, and Latin America. No vendor agenda, no theoretical advice — just a clear benchmark, a prioritized roadmap, and direct expert review from someone who has shipped this work at scale. Fixed fee, 14-day delivery, full confidentiality.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, GitHub Copilot, Google AutoML, GPT-3, H2O, Keras, MLflow, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlow, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,800
|
Advanced
$3,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 2 | 5 | 10 |
Number of Graphs/Charts | 5 | 12 | 25 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
About Soumyadip
Data Science & AI Strategy | Fraud Analytics, Credit Risk, Agentic AI
Bengaluru, India - 4:44 pm local time
Who I am:
A senior data science leader with 19+ years in BFSI analytics, currently heading fraud strategic analytics for a global Tier-1 bank across Asia Pacific, Middle East, and Latin America. I lead teams of data scientists building production fraud detection ML models and pioneering GenAI/Agentic AI solutions for financial crime. My career spans global retail banking, life insurance, and credit risk — with hands-on delivery experience across India, UK, Hong Kong, Indonesia, the Middle East, and Mexico.
What I deliver for clients:
🔹 Fraud & Financial Crime Analytics — Designing fraud detection ML models, transaction monitoring strategies, mule account detection, account takeover defense, and chargeback analytics. Built and deployed across multiple regulatory regions.
🔹 Credit Risk & Marketing Analytics — Application scorecards, behavioral scoring, propensity models, customer segmentation, next-best-action systems, and lifecycle marketing analytics for retail banking and insurance.
🔹 GenAI & Agentic AI Solutions — Developing solutions using LLMs and agentic workflows for fraud investigation, narrative analysis, document intelligence, and operational automation. I've moved beyond theory to build working prototypes.
🔹 AI Strategy & Roadmaps — AI readiness assessments, vendor evaluations, use-case prioritization, and 12-month execution roadmaps for organizations starting or scaling their AI capability.
🔹 Fractional Analytics Leadership — Acting as an embedded senior data science leader for companies that need executive-level expertise without a full-time hire.
Why clients work with me:
✅ I've actually built and shipped this at scale — not just advised. My teams own production fraud models protecting billions in transactions.
✅ I bridge business and technical fluently. I can present an AI roadmap to a CFO and debug a model architecture with engineers in the same day.
✅ Multi-region experience across emerging and developed markets means I understand how regulatory, cultural, and data-availability differences shape what actually works.
✅ I stay genuinely hands-on with the latest LLMs, agentic frameworks, and AI tooling. Most leaders at my level stopped touching code 10 years ago. I haven't.
Tools & technologies I work with: Python, SAS, SQL, classical ML (XGBoost, scikit-learn, Random Forest, Logistic Regression), Deep Learning frameworks, LLMs (Claude, GPT-4, open-source models), agentic AI frameworks, fraud detection platforms, and BFSI-specific data infrastructure.
Best fit for:
• Banks/NBFCs/fintechs needing fraud strategy or model audits
• Companies running AI strategy / readiness assessments
• Organizations wanting GenAI POCs built and evaluated for production viability
• Startups needing fractional senior data science leadership
• Investment firms / consultancies needing expert input on BFSI AI
Open to short consulting engagements, longer fractional retainers, and one-off expert advisory calls. Available for remote engagements globally; comfortable working across time zones.
Steps for completing your project
After purchasing the project, send requirements so Soumyadip can start the project.
Delivery time starts when Soumyadip receives requirements from you.
Soumyadip works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff call to align on scope, goals, and success criteria
We start with a 30-minute call to understand your fraud landscape, model context, and what success looks like for you. I'll confirm scope, walk through the audit framework, and agree on materials needed. You leave with a clear engagement plan.
Secure document handover and confidentiality setup
NDA signed if needed. You share model documentation, performance data, sample outputs, and any monitoring artifacts via secure channels. Anonymized data is welcome. I confirm receipt and flag any critical gaps before deep analysis begins.