SK

Sandeep Komatireddy

Lead Machine Learning Engineer at Settle

Sandeep Komatireddy has a diverse work experience with various roles in different companies. Sandeep is currently serving as the Lead Machine Learning Engineer at Settle since 2022. Prior to this, they worked at Capital One where they held multiple positions including Data Science/Machine Learning Lead, Principal Data Scientist, Principal Associate in Innovation Labs, Senior Associate in Data Engineering, and Sr. Data Analyst. At Capital One, they utilized the newest technologies for reporting, developed tools for model monitoring, and performed data analysis and mining for driving new strategies. Before joining Capital One, Sandeep worked as a Graduate Research Assistant at Oklahoma State University, where they implemented database solutions, performed business and data analysis, and generated reports for departmental projects. Sandeep also gained experience as an Associate Manager at JSL Limited, where they handled project management, process optimization, data analysis, technical procurements, and mentoring new team members.

Sandeep Komatireddy completed their Bachelor of Technology (BTech) degree in Electrical Engineering from the National Institute of Technology Surat, with a duration from 2005 to 2009. In 2013, they pursued a Master's degree in Management Information Systems, General from Oklahoma State University. Additionally, Sandeep has earned several certifications including a Graduate Certificate in Business Datamining and an OSU and SAS Datamining Certificate, both obtained in June 2014. Sandeep acquired the Machine Learning Engineer certification from Udacity in March 2018. Sandeep also holds multiple SAS certifications: SAS Certified Statistical Business Analyst Using SAS 9, SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling, and SAS Certified Base Programmer for SAS 9. These SAS certifications were obtained between July 2012 and December 2013.

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Timeline

  • Lead Machine Learning Engineer

    January, 2022 - present