Jessica Franks
About Jessica Franks
Jessica Franks is a Tech Lead in Data Engineering at Not On The High Street, based in London, England. With a background in data science and engineering, she has held various roles in South Africa and has a strong focus on business intelligence and machine learning.
Work at Not On The High Street
Jessica Franks has been serving as the Tech Lead for Data Engineering at Not On The High Street since 2022. In this role, she oversees data engineering projects and leads a team focused on enhancing data infrastructure and analytics capabilities. Her work contributes to the company's mission of providing unique products and services to customers in the online marketplace.
Previous Experience in Data Engineering
Prior to her current position, Jessica worked at Paystack as a Senior Data Engineer from 2021 to 2022. During her tenure, she implemented DBT on the company's infrastructure, successfully migrating over 150 data models. She focused on business intelligence reporting and played a key role in designing and implementing a Redshift data warehouse, which enabled end-users to perform data analysis using SQL and Power BI.
Educational Background
Jessica holds a Bachelor of Engineering (BEng) in Electrical and Electronic Engineering with IT endorsement from the University of Johannesburg, where she studied from 2005 to 2008. Additionally, she earned a Bachelor of Science (BSc) in Information Technology from the same institution during the same period. In 2019, she furthered her education by completing a Nanodegree in Deep Learning from Udacity.
Achievements in Data Science
While working at Leadhome, Jessica improved the accuracy of a machine learning model predicting property sales from 71% to 91%. She also increased the informedness metric from 7% to 78%. These enhancements significantly contributed to the company's data-driven decision-making processes in the real estate sector.
Technical Skills and Tools
Jessica is proficient in various technologies and tools essential for data engineering and DevOps. At Paystack, she utilized Terraform, Docker, and Kubernetes for DevOps tasks. Her technical expertise also includes experience with data modeling, business intelligence tools, and machine learning frameworks.