PhD Scholar at ASU| IISER Bhopal | ISB 2024 | NACCL 2022
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Joined Department of Data Science & Engineering at Indian Institute of Science Education and Research in 2019.
Arizona State University
Doctor of Philosophy - PhD, Biomedical Informatics
August 1, 2024 – May 1, 2029
IISER Bhopal
Bachelor of Science - BS, Data Science and Engineering
July 1, 2019 – Present
Prince School, Sikar (Rajasthan)
High School, Physics Chemisty Mathematics
July 1, 2016 – July 1, 2018
Arizona State University
PHD Student
August 1, 2024 – Present
Tempe, Arizona, United States
NAACL 2022
Student Volunteer
July 1, 2022 – October 1, 2024
PlotMyData
Data Science Intern
January 1, 2022 – March 1, 2022
Indian Institute of Science Education & Research (IISER), Bhopal
Research Intern
December 1, 2021 – March 1, 2022
Bhopal, Madhya Pradesh, India
iSarcasmEval: Intended Sarcasm Detection In English
December 1, 2021 – Present
Worked on three subtasks for SemEval 2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English: SubTask A: Given a text, determine whether it is sarcastic or non-sarcastic SubTask B: Given a text, determine which ironic speech category it belongs to if any SubTask C: Given a sarcastic text and its non-sarcastic rephrase, determine which is the sarcastic one. Made deep learning models using BERT, XLNet, DistilBERT, RoBERTa to increase accuracy. ● Algorithm: BERT Fine-Tuning ● Language: Python ● Results: 19th rank for SubTask A, 8th rank for SubTask B, and 13th rank for SubTask C
Generate synthetic satellite images using GANs
September 1, 2021 – November 1, 2021
● Design an architecture for the generation of Synthetic Satellite Images from Google Map photos. ● Algorithm: Conditional Generative Adversarial Networks (cGANs) ● Language: Python ● Results: High-resolution Satellite images
Python For Finance: Algorithmic Trading
August 1, 2021 – November 1, 2021
The objective of this paper is to find an optimal technique for predicting stock price using the combination of fundamental and technical analysis using deep learning. This project takes labeled data from Yahoo Finance with the help of the yfinance library. Result: r2_score of the model 0.8591 Inputs: 1. Data: Stock price of S&P stock market index. 2. Algorithm: LSTM 3. Language Use: Python Output: A deep learning model to predict the stock price of future
Disease Modeling and Target Discovery
Insilico Medicine
June 25, 2026 – Present
Hackerrank SQL
HackerRank
June 25, 2026 – Present
Programming for Everybody (Getting Started with Python)
Coursera
June 25, 2026 – Present
SAS - Arizona State University Academic Specialization in Biomedical Informatics
SAS
June 25, 2026 – Present
Data Science Internship
PlotMyData
June 25, 2026 – Present
NPTEL-VuNet Data-Centric AI Masterclass
NPTEL
June 25, 2026 – Present
Using Python to Access Web Data
Coursera
June 25, 2026 – Present
Hackerrank Python
HackerRank
June 25, 2026 – Present
Data Analytics
Indian Institute of Technology, Bombay
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily research and academic-oriented, with a strong focus on deep learning and advanced data science techniques. While these skills are valuable, the target role of 'Data Analyst' typically requires a more business-oriented approach, focusing on data interpretation, reporting, and actionable insights for stakeholders. The projects are technically impressive but lack explicit mention of business impact or stakeholder communication. The diversity of projects (NLP, image generation, finance) shows breadth, but the depth is primarily in advanced ML algorithms rather than traditional data analysis tools or business intelligence. The cultural fit for a pure Data Analyst role might require adaptation from a research-heavy mindset to a more applied, business-driven one.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems independently. The volunteer experience at NAACL 2022 indicates some exposure to collaborative environments, but specific soft skills like teamwork, leadership, or problem-solving under pressure are not explicitly detailed in the provided data. The pursuit of a PhD suggests strong research and analytical capabilities.