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Account aggregator Hackathon - Masterclass on data science & AI track
- 1. Masterclass on Data Science & AI Track Aakash N S | www.jovian.ml | hello@jovian.ml Account Aggregator Hackathon
- 2. Aakash N S • Co-founder & CEO, Jovian.ml • Ex-software engineer at Twitter • Computer Science, IIT Bombay • I write code, blog and teach aakashns
- 3. Jovian.ml Sharing and collaboration platform for data science projects & Jupyter notebooks JovianML
- 4. What we’ll discuss today • Why Account Aggregator? • Overview of AA architecture • Ideas for projects leveraging DS/AI • Tips for creating a winning project
- 7. Financial data is fragmented across many sources • Bank accounts, payment wallets • Credit cards, loans, insurance • Fixed deposit, mutual funds • DEMAT, equity, commodities etc.
- 8. Fintech faces a bottleneck of manual processing • Digitize printed documents • Parse PDFs & spreadsheets • Scrape websites w/ user credentials • Difficult to do on a recurring basis
- 9. Access to credit limited due to lack of financial data • No income & transaction history • Can’t determine credit-worthiness • No mechanism to track spending • Recollection can be a nightmare
- 11. Overview of Account Aggregator
- 16. Raw Data in XML format
- 17. Ideas for projects leveraging DS/AI
- 18. Financial data is fragmented across many sources Providing a unified view of all financial information
- 19. Providing a unified view of all financial information
- 20. Providing a unified view of all financial information • Bank accounts, payment wallets • Credit cards, loans, insurance • Fixed deposit, mutual funds • DEMAT, equity, commodities etc.
- 21. Providing a unified view of all financial information • Create sample data sets (3 months) • Use your own financial statements • Data visualization in Python/JS • Create mockups for desktop/mobile
- 22. Providing a unified view of all financial information • Data Visualization Cheatsheet • Spend Analysis using Python • Numpy & Pandas Tutorials • Personal finance app UI inspiration
- 23. Fintech faces a bottleneck of manual processing Middleware for simplifying data access
- 25. Middleware for simplifying data access • Customer visits bank for loan • Banker requests data using app • Customer grants consent using app • Data from various sources shared
- 26. Middleware for simplifying data access • Mobile SDK to simplify data request • Multiple FI types from many FIPs • Recurring access / live updates • Data warehouse with pre-built APIs
- 27. Middleware for simplifying data access • Mobile SDK Best Practices • Firebase (Data Warehouse) • Building REST APIs for mobile apps • Buliding simple UIs on Android
- 28. Access to credit limited due to lack of financial data Credit modeling based on financial information
- 29. Credit modeling based on financial transactions
- 30. Credit modeling based on financial transactions Source
- 31. Credit modeling based on financial information
- 32. Credit modeling based on financial information • CGAP Report on Credit Scoring • Give Me Some Credit (Kaggle) • Home Credit Default Risk (Kaggle) • 50 papers on credit scoring with ML
- 33. How to create a winning project
- 35. Pick a good problem statement • Address a large, obvious use case • Document motivation & objectives • Identify gaps in existing solutions • Focus on benefits, not features
- 36. Start with the user experience and build backwards • Identify core user flows & outcomes • Create UI screens/mockups & flows • End-to-end flows with mock data • Implement each piece part by part
- 37. Present the complete picture of your project • Explain problem scale & motivation • Demo video of UI/UX with voiceover • Explain the technical architecture • Include plans & ideas for future work
- 38. All the best!
- 39. Questions? Aakash N S | www.jovian.ml | hello@jovian.ml
- 41. Jovian.ml Sharing and collaboration platform for data science projects & Jupyter notebooks JovianML