Andrew Henry
About Andrew Henry
Andrew Henry is a Data Scientist II at Cision with a background in machine learning and data science, having previously worked at Omdena, Packt, DrivenData, and Kaggle.
Title and Current Position
Andrew Henry currently holds the position of Data Scientist II at Cision. His role involves enhancing the company's data analytics capabilities and working with complex machine learning models to derive insights that inform business decisions.
Previous Experience at Omdena
Before joining Cision, Andrew Henry worked as a Machine Learning Engineer at Omdena from 2020 to 2022. During his tenure, he focused on developing machine learning algorithms and solutions for various clients, contributing to projects aimed at solving complex real-world problems.
Experience with Technical Reviews at Packt
Andrew Henry served as a Technical Reviewer specializing in Data Science and Machine Learning at Packt from 2019 to 2020. In this role, he evaluated technical content, provided feedback to authors, and ensured the accuracy and quality of published material.
Participation in Data Science Competitions
Andrew Henry was actively involved in data science competitions between 2018 and 2020. He competed in events hosted by DrivenData and Kaggle, honing his skills in competitive machine learning and earning recognition within the data science community.
Educational Background
Andrew Henry has completed several specialized courses and programs in data science and machine learning. He earned a Data Engineering Nanodegree and a Deep Learning Nanodegree from Udacity. Additionally, he studied Practical Data Science Specialization on Coursera, Intermediate Data Science: Python on Springboard, and multiple tracks on DataCamp, including Data Scientist with Python, Data Analyst with Python, and Marketing Analytics.
Technical Skills and Expertise
Andrew Henry has developed and deployed machine learning models, particularly for customer segmentation and churn prediction. He uses Amazon Web Services for managing data storage and model deployment. He is proficient in data visualization tools such as Bokeh, Google Data Studio, and Tableau, and specializes in customer analytics and A/B testing. His expertise also includes using DynamoDB, S3, and Redshift for data modeling and storage solutions.