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Thursday, August 22 • 3:45pm - 4:15pm
Building a Financial Scorecard using Python

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Financial Scorecards are used widely in all financial organizations for different kinds of ratings. This talk will take you through the building and validation process of a financial scorecard using data.Financial Scorecards are used by banking organizations to judge the financial stability of their portfolio and take business decisions. These scorecards help in tracking and collections.

This talk is designed for audience to take them through the process of developing a scorecard using Python. The workshop will guide you through the EDA process using Python and will demonstrate the different kind of visualizations that can enable better data understanding. We aim to cover step by step process of building a scorecard and Use of different Machine Learning algorithms to build a better scorecard by comparing the outputs of different algorithms. We will demonstrate 3 different Machine learning algorithms Random Forest , Support Vector Machine and Gradient Boosting and their outcomes while building this scorecard.

Speakers
avatar for Nirav Shah, MS, MBA

Nirav Shah, MS, MBA

Founder, OnPoint Insights
Nirav Shah is the Founder of OnPoint Insights. He has 15 years of industry experience - mainly in consulting on data analytics, big data modeling, process analytics and real-time data solutions.


Thursday August 22, 2019 3:45pm - 4:15pm
Room 211 595 Commonwealth Avenue, Boston, MA 02215, USA

Attendees (46)