Seema Jahagirdar
About Seema Jahagirdar
Seema Jahagirdar is a Data Science Fellow currently working at Correlation One and the University of Pennsylvania. With a background in Electrical Engineering and extensive experience in machine learning applications, she has contributed to projects involving fault detection systems for robotics.
Work at Correlation One
Seema Jahagirdar currently holds the position of Data Science Fellow at Correlation One, where she has been employed since 2023. In this role, she engages in data science projects and collaborates with teams to enhance data-driven decision-making processes. Her work contributes to the organization's goal of advancing data literacy and analytics capabilities.
Education and Expertise
Seema Jahagirdar is pursuing a Master of Science in Electrical Engineering at the University of Pennsylvania, a program she began in 2022. She previously earned a Bachelor's degree in Electronics and Communication Engineering from Ramaiah Institute of Technology, completing her studies in 2020. Her academic background provides a solid foundation in engineering principles and data analysis.
Background
Seema Jahagirdar has a diverse professional background, having worked in various roles related to data science and engineering. She served as an Assistant Manager at ACT FIBERNET from 2020 to 2022 in Bengaluru, India. Her earlier experiences include internships at Honeywell and ISRO, as well as a position as a Data Scientist at Penn Data Science Group in 2022.
Achievements in Machine Learning
Seema Jahagirdar has made significant contributions to machine learning applications, particularly in robotics. She developed a limb fault detection system for quadrupedal robots using machine learning techniques, which improved fault resilience. Additionally, she achieved a 96% accuracy rate in anomaly detection using autoencoders and employed LSTM models to classify robot limbs, attaining an F1 score of 0.81.
Teaching and Research Roles
In addition to her fellowship at Correlation One, Seema Jahagirdar works as a Graduate Teaching Assistant and a Machine Learning Research Assistant at the University of Pennsylvania. In these roles, she supports educational initiatives and engages in research projects, furthering her expertise in data science and machine learning.