Sarah Khan

Data Science Engineer at buynomics

Sarah Khan has worked at five different companies since 2016. Sarah began their career as a Software Engineer at Adobe, where they worked on the design and development of a performance automation framework for tracking the performance of the product Adobe Illustrator. Sarah then moved to Sidact gmbh in 2019, where they worked as a Work Student Software Developer. That same year, they began their Graduate Student role at the University of Bonn. In 2020, they began their role as a Student Research Assistant at Fraunhofer FKIE, and they are currently working as a Data Science Engineer at Buynomics.

Sarah Khan's education history includes a Bachelor of Technology - BTech in Computer Science from Jamia Millia Islamia (2012-2016) and a Masters in Science in Computer Science from The University of Bonn (2019-2021). Sarah has also obtained numerous certifications, such as "Artificial Intelligence Foundations: Thinking Machines" from LinkedIn (2019), "Building a Recommendation System with Python Machine Learning & AI" from LinkedIn (2019), "The Essential Elements of Predictive Analytics and Data Mining" from LinkedIn (2019), "Machine Learning: Regression" from Coursera (2019), "Machine Learning Foundations: A Case Study Approach" from Coursera (2018), "Illustrator CC 2015 Essential Training" from Lynda.com (2016), "Programming Foundations: Real-World Examples" from Lynda.com (2016), "AMCAT Certified Business Analyst" from Aspiring Minds (2014), and "AMCAT Certified Data Processing Specialist" from Aspiring Minds (2014).

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Timeline

  • Data Science Engineer

    August, 2022 - present