HO - Data Scientist (Banking Models)

Design predictive analytics and machine learning models for appropriate business functions.
Extract novel insights from internal and public datasets to improve outcomes and economics of banking services.
Provide high-quality and proficient support for the work across the data and analytics spectrum including data collection, analysis, modeling and visualization.
Understand "pain points" from the business, analyze, prepare data, develop statistical model development/ Machine learning algorithms/ other AI techniques as: Implemented models including upselling, cross-selling, and churn prediction to optimize sales strategies and improve customer retention
Collaborate with data analysts and external analytics stakeholders, inclusive of data analytics, data warehousing, and data engineering teams in designing and implementation of data
Perform tracking and optimization of implemented/operationalized models
Provide advanced analytics focus on forecasting future events and behaviors, enabling businesses to conduct what-if analyses to predict the effects of potential changes in business strategies
Digital Transformation Projects: Participated in projects related to credit cards, productivity, loans, collections, data platform