Charlie Brown

Principal Data Scientist

Available

About

Summary

Focuses on machine learning model development and deployment. Expertise in Python, Scikit-learn, TensorFlow, and PyTorch. Has delivered projects in natural language processing (NLP) and computer vision. Familiar with MLOps pipelines.

Skills

Python

TensorFlow

PyTorch

NLP

MLOps

Professional Experience

Principal Data Scientist

Consultant Central · 2021 - Present

Develops predictive models and data-driven strategies for clients in telecom and finance.

Data Scientist

Analytics Inc. · 2018 - 2021

Worked on customer segmentation and churn prediction models.

Education

Ph.D. in Machine Learning

Carnegie Mellon University · 2018

M.S. in Statistics

Stanford University · 2014

Project History

Customer Churn Prediction Model

Completed

Client: Telecom Giant

Designed and deployed a sophisticated machine learning model using Python, Scikit-learn, and TensorFlow to predict customer churn with high accuracy. The model analyzes call data records, customer service interactions, and billing history to identify at-risk customers, allowing the client to launch targeted retention campaigns.

Outcome

"Achieved 85% accuracy in churn prediction, leading to a 15% reduction in customer attrition over two quarters."

Engineers:

OBB

Charlie Brown

Summary

Skills

Principal Data Scientist

Data Scientist

Ph.D. in Machine Learning

M.S. in Statistics

Project History

Outcome