Resume
I'm a Data Scientist focused on Statistics, Machine Learning, AI and data-driven problem solving. Continuous learning is a core part of how I approach both work and life. I enjoy building applications, exploring new ideas and turning complex problems into practical solutions. Outside of work, I'm a passionate sports fan - especially soccer, football and F1, with a growing interest in ice hockey.
Education
MS CS
2023 - 2025
New York University (Courant)
B.Tech with Honors in CSE
2019 - 2023
Indian Institute of Information Technology, Sri City
Class X & Class XII
2017, 2019
R.N. Podar School, Mumbai
Experience
- Data Scientist 2
Intuitive Surgical (Jun 2025 - Present)
- Data Scientist Intern
Intuitive Surgical (May 2024 - May 2025)
- Research Intern
Artificial Intelligence Institute of UofSC (August 2022 - May 2024)
- Research Intern
Wipro AI Lab (April 2021 - August 2022)
- ML Intern
TechCiti Software Consulting PVT LTD (July 2020 - August 2020)
Coursework
Conceptual Gaps in ML
Cloud and ML
PA
FA
PL
OS
NLP
CV
AI
HPC
DBMS
ABMS
ADSA
WBD
IAE
OOP
Comm Skills
Skills
Publications
- Unsupervised Domain Adaptation Supplemented with Generated Images (2022)
Suryavardan S, Viswanath Pulabaigari, Rakesh K Sanodiya
- Factify: A multi-modal Fact Verification dataset (2021)
Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit Sheth, Asif Ekbal, Chaitanya Ahuja
- Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (2021)
Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty , Amit Sheth, Asif Ekbal and Chaitanya Ahuja
- Virtual Try-On using Style Transfer (2021)
Rakesh Kumar Sanodiya, Ravi Ranjan Prasad Karn, Eswara Surya Chandaluri, Suryavardan S, and L Ranajith Reddy
MOOCs
Projects
LENR Chatbot
Our team from NYU (led by Prof. Anasse Bari) collaborated with a senior LENR researched at George Washington University, Prof. David J. Nagel. We worked on curating a RAG vector databse of research papers, documents, notes etc. in the field of LENR, from the 1980s to the present. This was used to produce a chatbot to aid researchers and practitioners in the field.
Presidential Debate Analysis
Analyzed transcripts and Google search trends surrounding the 2024 U.S. presidential debates to understand how public interest shifted in response to candidates and key campaign issues. A data-driven analyses to derive insights on voter engagement, complementing traditional polling and other measures of public interest.
UDA with GANs
Research on impact of synthetic images, generated using a novel variation of a GAN, supplemented to SOTA traditional Unsupervised Domain Adaptation Algorithms (JDA, TJM, JGSA and LDAPL).
ShoeBox
ShoeBox has been designed give sneakerheads a social media experience to buying shoes. A user can stay up-to-date on new releases from the brands they follow, liked shoes and special editions on our web app
DeFactify @ AAAI
Workshop towards multi-modal fact checking and hate speech detection. Including two Shared tasks/Datasets: Memotion (Sentiment and emotion analysis of memes) and Factify (Auomated multi-modal fact verification).
Donation Platform
A Django based platform aimed at making the process of donation seemless with the help of a convenient interface (Google login, Razorpay etc.)
F1 simulator with CV steering
As part of the Virtual and Augmented Reality course, we developed a F1 simulator on Unity - with a Computer Vision based steering where we used indicators on a physical steering to track the movement/angle through the webcam of the user.
Virtual Try-On
Implemented cloth swapping simply given two images based on limited knowledge and a resource intensive architecture
Metro Simulation
Agent-based modelling approach to simulating and evlauating a city's metro architecture - with passenger count, metro frequency, operation hours, congestion etc.