Ramsha Siddiqui
About Ramsha Siddiqui
Ramsha Siddiqui is a Machine Learning Engineer at OvationCXM in San Francisco, California, where she has worked since 2021. She specializes in Conversational AI and has developed an Automated Machine Learning Pipeline for Call Transcription Analytics.
Work at OvationCXM
Ramsha Siddiqui has been employed as a Machine Learning Engineer at OvationCXM since 2021. In this role, she focuses on developing and implementing machine learning models that enhance customer experience through advanced analytics. Her work involves applying her expertise in Natural Language Processing to create solutions that improve dialogue systems.
Previous Experience at i2c Inc.
Prior to her current position, Ramsha Siddiqui worked as a Data Scientist at i2c Inc. from 2019 to 2021. During her tenure, she contributed to various data-driven projects, utilizing her skills in machine learning and data analysis. Her experience at i2c Inc. provided her with a strong foundation in handling complex data challenges.
Education and Expertise
Ramsha Siddiqui holds a Bachelor's degree in Computer Science from the National University of Computer and Emerging Sciences, completed between 2015 and 2019. Additionally, she studied Computer Information Systems at the University of the Incarnate Word, earning another Bachelor's degree in 2018. Her educational background supports her specialization in Conversational AI and Dialog Systems.
Research Internship Experience
In 2017, Ramsha Siddiqui served as a Research Intern at Information Technology University in Lahore, Pakistan. This internship lasted for four months and provided her with practical experience in research methodologies and applications in the field of technology.
Machine Learning Projects
Ramsha Siddiqui developed an Automated Machine Learning Pipeline for Call Transcription Analytics. This project involved advanced Natural Language Processing tasks, including dialogue-state tracking and hedge cue detection. Her work in this area demonstrates her capability in applying machine learning techniques to real-world problems.