Research associate at LMSAL; Ph.D Astrophysics @ IUCAA Pune; B.Tech @ IIT Madras.
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Assessing your cultural and operational fit
SuryaBench
May 13, 2025 – December 6, 2025
Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
View ProjectMachine-Learning-Tutorials
November 25, 2022 – December 1, 2022
Collection of different notebooks, presentations and tutorials mainly pertaining to machine and deep learning.
View ProjectGEM_Tutorial
June 23, 2022 – June 23, 2022
This is a Colab notebook which teaches how Spherical harmonics are to be fitted to a toy example.
View ProjectIUCAASummerSchool2021
May 28, 2021 – November 9, 2022
A set of hands on tutorials on basic python usage and machine learning for astronomers
View ProjectVishal-Upendran.github.io
September 2, 2020 – July 3, 2025
Vishal-Upendran.github.io — GitHub repository
View ProjectWindNet
March 17, 2020 – June 16, 2020
A solar wind prediction model through Deep learning, using AIA Full disc data
View ProjectSolarEclipse2019
December 18, 2019 – December 29, 2019
SolarEclipse2019 — GitHub repository
View ProjectSunGan
May 12, 2019 – May 12, 2019
A GAN to try and train AIA EUV Images to perform full disc prediction of these images.
View ProjectGraph2Data
March 13, 2019 – March 13, 2019
A python script to obtain accurate data values from images of plots and graphs
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic-focused, indicating a strong self-driven learning approach. The diversity of projects, while all related to data science/ML, shows a breadth of application within that domain. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.