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Christopher Alexander has a diverse work experience in the field of data science. Christopher is currently a Data Scientist at Achievers since 2022. Prior to this, they worked as a Data Scientist at GoldSpot Discoveries Corp. from May 2022 to June 2022, where they built a python package to identify data drift and model decay.

From 2019 to 2021, Christopher worked at Marlabs Inc. As an SDE 2 - Data Scientist, they developed ML solutions for business problems based on client requirements and managed Databricks migration and cluster management. Christopher also kept up with the latest AI technologies through research papers and blogs.

In 2019, they started their career at Marlabs Inc. as an SDE 1 - Data Scientist, where they gained valuable experience in the field.

Before starting their professional career, Christopher worked as an intern at NETGEAR in 2018.

Christopher Alexander's education history begins in 2014 when they attended CMR Institute Of Technology. Christopher pursued a Bachelor of Engineering (BE) degree in Computer Science, completing their studies in 2018.

In 2018, Christopher went on to enroll at the International School of Engineering (INSOFE) where they completed a post-graduate program in Big Data Analytics and Optimization, concluding in 2019.

Seeking further education, Christopher joined The University of British Columbia in 2021 to pursue a Master of Data Science degree, which they are expected to complete in 2022.