
Graduate Student Researcher in the Department of Astronomy and Astrophysics at UC San Diego
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UC San Diego
Data Scientist
June 29, 2026 – Present
44Ti-Cosima-simulations
June 4, 2024 – Present
Source simulations using Cosima for 44Ti line emissions.
View ProjectSXR-Solar-Flare-Classification
May 14, 2024 – June 12, 2024
Classification of solar flare morphology with soft X-ray observations using Chandrayaan-2/XSM
View ProjectRichardson-Lucy
April 1, 2024 – June 12, 2024
Documentation and code repository for PHYS 244: Parallel Computing
View ProjectSuryaDrishti
September 21, 2023 – January 25, 2024
Solar flare catalog from 3 years of Chandrayaan-2 XSM observations
View ProjectGW-Compact-Binary
October 31, 2022 – November 6, 2022
Documentation and code repository for the PH 821: Gravitational Wave Physics course project
View ProjectSTADS-AJIT
June 9, 2021 – October 18, 2023
This repository contains codes for hardware testing of STADS (Star Tracker-based Attitude Determination System)
View ProjectNumber_Theory_and_Cryptography_Workshop
December 20, 2020 – December 28, 2020
This is the official GitHub Repository for the Introduction to Number Theory and Cryptography Workshop organised by the Maths and Physics Club, IIT Bombay.
View ProjectQuantum_Computing_Workshop_2020
July 21, 2020 – August 19, 2020
QuBit - a bit of quantum computing with Qiskit - a kit for quantum computing
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and research-oriented, focusing on scientific data analysis. While this demonstrates a strong analytical mindset, the diversity of project types outside of scientific computing is limited. The single listed professional experience as a Data Scientist at UC San Diego is current, but no details are provided to assess its alignment with typical industry data science roles or team environments. The candidate's experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential data discrepancy or entry-level professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct evidence of collaboration, problem-solving approach, or communication style is available.