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Afreen Fe

@afreenfe

AI and analytics leader at MSCI, scaling a GCP data quality platform and implementing agentic AI workflows.

At MSCI, I’m leading work to scale a unified data quality platform on Google Cloud Platform and implementing agentic AI for self-serve workflows and automated rules generation. GenAI-enabled data quality work improved throughput by 70%, and AI and engineering infrastructure costs were reduced by 18%.

Previously, I built a natural language generation tool at Vodafone India and an AI chatbot backend at Persistent Systems. My work has also included predictive analytics, NLP, and machine learning, with peer-reviewed publications on predictive analytics.

Experience

Work history, roles, and key accomplishments

Current

Vice President

Current

MSCI Inc.

Nov 2021 - Present (4 years 11 months)

Leading strategic data quality initiatives and building a unified Data Quality Platform on GCP. Implementing Agentic AI solutions and overseeing end-to-end platform engineering with DevOps and MLOps.

LLM OpenAI Google Cloud Platform Azure GenAI Agentic AI MCP DevOps MLOps Cloud Native Architecture Data Quality Agile

Manager

Vodafone India

Jan 2020 - Nov 2021 (1 year 10 months)

Worked on end-to-end data science lifecycle, from proof-of-concept to production models. Conceptualized and built a natural language generation tool for business narratives and implemented predictive algorithms for telecom KPIs.

Data Science Natural Language Generation predictive modeling Statistical Algorithms Telecom Analytics

Team Lead

Persistent Systems

Dec 2015 - Dec 2019 (4 years)

Built AI backend for a banking chatbot and led a team to develop models for ticketing data analysis. Also built classification models for predicting hospital-acquired infections and analyzed credit card transactions using NLP.

AI Chatbot NLP Named Entity Recognition LDA Seasonal ARIMA Holt Winters Classification Data Balancing LSTM Q&A

Data Scientist

Zenatix

Jun 2015 - Dec 2015 (6 months)

Consulted Google India on energy optimization, delivering 6-8% savings on monthly energy bills. Built regression models for optimizing HVAC systems in commercial buildings.

Energy Optimization Regression Modeling HVAC Systems Data Science