Vaishnavi Khilari

Vaishnavi Khilari is a dedicated college undergraduate with a passion for developing successful algorithms and predictive models across various industries.

Her expertise lies in clustering, classification, web scraping, data analysis, and visualization, all aimed at enhancing operational efficiency for businesses.

With a strong engineering background, she excels in applying machine learning techniques and algorithm development to address practical business challenges.

Vaishnavi pursued a Bachelor's degree in Electrical, Electronics, and Communications Engineering at MKSSS Cummins College of Engineering for Women.

She completed her HSC in Science, majoring in Physics, Chemistry, Mathematics, and Biology, with a commendable percentage at Vidya Bhavan High School & Junior College.

Her educational journey also includes achieving high marks in SSC with a focus on General Studies at Symbiosis School in India.

Throughout her academic tenure, she made valuable contributions as a member of the Projects and Internships Team at AICVS Cummins.

She also held core positions in organizational management as a former Core Member of the Management Team at Team Adira and served as a Campus Ambassador at dToks - a Mental Health Community.

Vaishnavi Khilari gained hands-on experience as a Data Science and Analytics Intern at The Sparks Foundation and honed her skills further as a Machine Learning Intern at Internship studio and Verzeo.