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RamYeturi has not earned any certificates yet.
Work Experience
Software Engineer
Deloitte•  March 2021 - July 2022
Worked as ML and AI Engineer for the client Amazon Web Services LTD (AWS). • In the vector of ML & AI developed the APIs for Amazon CodeWhisperer showcasing the 100% complete product that was developed. Worked as OFSAA Developer for the client M&T Financial Services Company LTD. • Analyzed business requirements & built Functional and technical design to implement OFSAA configurations & PFT rules and submitted 100% reports to regulatory agencies. • Implemented custom code to meet the client requirements and developed 85% automations to minimize manual interventions by 400-line P&L with value chain services. • Optimized P&L analysis by developing the rules and unit testing them in parallel making sure that there are no bugs and increased the efficiency by 40%. Worked in Lombard Integration (Vermag) Team for the client Wells Fargo. • Performed 98% accurate variance analysis & Root Cause Analysis at instrumental level between the
Education
University of Texas at Dallas, Richardson
Data Science, MS•  August 2022 - Present
Dayananda Sagar Academy of Technology and Management
Computer Science, BE•  August 2016 - August 2020
Big Data Analytics, DSATM, VTU, Bangalore, India. Teaching Assistant May 2020-July 2020. • Built a Machine Learning model for the Optical character recognition of handwritten characters using CNN, achieving an accuracy of 92.4%. • Designed an IoT based project for alerting the coolant system to maintain the temperature in certain given range and performed Z-score analysis to detect the changes in temperature. Machine Learning, DSATM, VTU, Bangalore, India. Teaching Assistant January 2020-May 2020 • Developed a Breast cancer detection system by training a 1.2 Giga Bytes of MIAS dataset that predicts nature of cancer and severity. • Classified nature of cancer by K-NN Classifier with an accuracy of 93.3% & build ANN for suggesting the medication. • Spearheaded the team for a conference on the 1st edition of ‘2020 European Alliance for Innovation (EAI)’ in [ICASISET]’ and published the paper with 246 views. • Awarded for presenting the paper ‘Early-Stage Detection & Classification of Breast Cancer’ in the 33rd Karnataka Students Convention jointly organized by the Computer Society of India (CSI).