HOMETOWN
New Delhi, Delhi, India
LANGUAGES
English, Hindi, Punjabi
UNDERGRADUATE INSTITUTION
University of Delhi
Bachelor of Arts in Economics
ACADEMIC TRACK
Health Data Science
CAREER TRACK(S)
Data Science, Analytics
TECHNICAL EXPERTISE
Python, R, SQL, Tableau, Node-red, C++, Bash, GitHub
EXTRACURRICULAR ACTIVITIES
Member of QuantBlitz
Member of Dartmouth Women in Computer Science (WICS)
QBS Electives
COSC 174: Machine Learning & Statistical Data Analysis, PSYC 174: Computational Neuroscience: Brain Engineering, COSC 189.21: Cognitive Computing with Watson, QBS 108: Applied Machine Learning
Capstone
My Interests
"My interests lie in leveraging the data science tools in the field of Neuroscience to better understand the mental representation underlying cognition and perception. I am particularly interested in decoding fMRI/EEG data for the application of music in health and healing."
Why QBS?
"QBS equips students to combine qualitative reasoning with quantitative tools in health research, place them in a diverse group where networking with like minded people encourages to forge long lasting relationship and come up with insights from various perspective."
FAVORITE QBS CLASS
QBS 108: Applied Machine Learning
Life @ Dartmouth
WHEN I AM NOT IN LAB