Data aesthete at heart, I am a Ph.D. candidate in the Davidson School of Chemical Engineering at Purdue University, advised by Jeffrey P. Greeley. Understanding molecular-level behavior of the catalyst through data and science is at the heart of my Ph.D. research.
To date, I have been fortunate to be involved in collaborations across industry-academia in India and USA, wherein I used data to pursue a narrative thread and unravel a rich tapestry of information and distill key insights as simple and actionable goals.
Besides research, I love to teach and contribute to improving scientific literacy. Currently, I am involved in developing a data science + machine learning crash course for the incoming summer cohort of REU (Research Experience for Undergraduate).
Outside of work, I enjoy cooking (link to some latest experiments), gaming, diving deep in arcane internet rabbit holes, reading philosophy, and going on longer-than-necessary bike rides.
I maintain a Data Science blog where I document tips, code, and helpful resources I have accumulated so far.
Research and Development intern in Chemometric & AI (M&E) and Cheminformatics (Core R&D) department.
Worked as Process Engineering intern for the Oil & Gas sector. Worked on following projects:
Responsible for developing and managing the festival online registration and landing portal. Lead designing of promotion and publicity material. Lead organizer of IDP (Industry Defined Problem), one of the primary events of the festival with approximate audience of 1000.
Worked in the manufacturing and formulation department. Handled following projects:
Worked as an intern in the manufacturing (R&D) and distribution (supply-chain) facility. Main project was on scaling up manufacturing protocols for an API
In charge of designing merchandise and promotional media for the festival
Thesis topic: Structural and Kinetic Modeling of Heterogeneous Catalysts Using First-Principles and Machine Learning