Hi, I’m

Himanshu.

M.Tech in Computational Data Science @ NIT Karnataka

I explore data-driven approaches to problem-solving — from mathematical modelling and statistical inference to end-to-end machine learning deployment on Azure.
With a background in Astronomy and Engineering Physics, I bridge science and data to create meaningful insights.

View Résumé

About Me

I am a Computational Data Science graduate student at the National Institute of Technology, Karnataka.
My work spans data analysis, image processing, machine learning, and Bayesian inference for scientific and industrial applications.

Previously, during my M.Sc. in Astronomy at IIT Indore, I carried out research on galaxy clusters using the Sunyaev–Zel’dovich effect, involving Python-based simulations, C++ integration, and Monte Carlo inference.

Core Skills
  • Python
  • C++
  • SQL
  • TensorFlow
  • PyTorch
  • Azure ML & CI/CD
  • Data Visualization (Tableau, Power BI)
  • Statistical Modeling & Astrostatistics

Research & Academic Experience

Master’s Research – Galaxy Cluster Analysis via Sunyaev–Zel’dovich Effect - Indian Institute of Technology, Indore
2019 – 2021

Conducted research on galaxy clusters through simulation and data analysis:

  • Processed astronomical data using Python and C++ for modeling SZ effect.
  • Performed image processing and Monte Carlo analysis for parameter inference.
  • Compared simulated and observed cluster data for model validation.
Undergraduate Industrial Training - Central Electronics Limited (CEL), Uttar Pradesh
2017

Completed industrial training focused on piezoelectric devices and quality control processes:

  • Studied assembly-line manufacturing and quality assurance of piezoelectric elements.
  • Performed testing of piezoelectric constants and capacitance measurements.
  • Gained exposure to applications of piezoelectric systems in defence and explosives technology.

Education

2025 – Present
M.Tech. Computational Data Science
National Institute of Technology, Karnataka
GPA: 8.95 / 10
Focused on applied data science, cloud deployment, and AI-based modeling.
2019 – 2021
M.Sc. Astronomy
Indian Institute of Technology, Indore
GPA: 8.39 / 10
Data-driven curriculum with applications in Astrostatistics and image processing. Research focus on simulation and modeling of galaxy clusters.
2014 – 2018
B.Tech. Engineering Physics
Delhi Technological University
GPA: 7.69 / 10
Majored in Electronics with a Minor in Robotics.
Worked on simulation and computational physics projects using COMSOL, Python, and C++.

Key Projects

COVID-19 Time Series Forecasting
Python ARIMA Time Series
COVID-19 Time Series Forecasting
Built an ARIMA-based model for COVID-19 case forecasting and validated predictions against live data with 95% confidence accuracy.
Hamiltonian Monte Carlo for Cosmological Parameters Estimation
Python MCMC Astrophysics
Hamiltonian Monte Carlo for Cosmological Parameters Estimation
Implemented Hamiltonian Monte Carlo from scratch to estimate cosmological parameters using Supernova Ia data; achieved 69% chain acceptance.GR convergence ratio ∼0.96.
Importance Sampling on Supernova Ia Data
Python Monte Carlo Astrophysics
Importance Sampling on Supernova Ia Data
Applied importance sampling for Bayesian inference on cosmological datasets, reaching 88% acceptance for parameter estimation.

Achievements & Certifications

Microsoft Certified: Azure Data Scientist Associate
Certified in end-to-end ML model development and deployment on Azure (2025).
Poster Presentation – Astronomical Society of India
Presented research on galaxy cluster modeling at the XXXIXth ASI Meeting (2021).

Contact Me

My inbox is always open. Whether you have a question, a project idea, or just want to say hi — I’ll be happy to connect!
Email Me