Welcome
Applied Geophysicist & ML Researcher
Applied Geophysicist | Geoscience & Data Analytics
I'm an Applied Geophysicist with an MSc (Tech) in Applied Geophysics from IIT (ISM) Dhanbad. I combine geoscientific knowledge with computational methods to understand subsurface systems and solve practical geoscience problems.
My experience and projects span seismic data analysis, well-log interpretation, petrophysical evaluation, and machine learning applications in geoscience. I have also worked on earthquake deformation analysis using GPS data and developed Python-based tools for petrophysical interpretation and scientific data analysis.
I'm particularly interested in subsurface characterization, exploration geophysics, and data-driven workflows that connect geological understanding with computational problem-solving.
Interdisciplinary domain knowledge bridging geophysical data acquisition, seismic processing, well log interpretation, and modern scientific computing.
Hands-on field acquisition and interpretation across electrical resistivity tomography (ERT), shallow seismic refraction, gravity, and magnetic survey methods.
Focused on glaciology, including glacier and snow cover distribution, remote sensing, and climate change impacts. Experienced in performing topographic reflectance corrections, estimating glacier depth, and evaluating climate-related impacts
Map orientation,Front and Back bearing, Analysis of rock types and mineralogy, Assessment of rock strength with related tests, and measurement of dip and strike of geological structures.
Scientific computing, desktop petrophysics software development, and machine learning research applied to subsurface exploration and earthquake seismology.
A comprehensive desktop geoscience platform engineered from scratch using Python and PyQt5 for advanced petrophysical evaluation, multi-well correlation, and 3D wellbore trajectory visualization. Built to provide explorationists with an intuitive, Schlumberger Petrel/Techlog-inspired analytical workstation for raw wireline log interpretation.
Master's research establishing data-driven machine learning methodologies for earthquake catalogue declustering — disentangling triggered aftershocks and foreshock sequences from stationary Poissonian background seismicity to significantly advance seismic hazard assessment and probabilistic forecasting.
Full methodology, figures and per-model scores are on the earthquake declustering results page.
A Python-based geophysical interpretation application developed for interactive visualization and analysis of seismic data. The platform supports SEG-Y datasets, 2D seismic sections, 3D seismic volumes, trace navigation, amplitude visualization, and seismic attribute analysis for subsurface interpretation.
IIT (ISM) Dhanbad
March 2025 – April 2025
A research-driven case study applying both supervised and unsupervised ML techniques for automated electrofacies prediction from wireline well logs. Focused on robust feature engineering, model comparison, and validation against lithofacies core data and adjacent wells.
ONGC Chennai · Mentor: Dr. M Nagendra Babu — Sr. Geophysicist (Surface)
IISc Bangalore · Divecha Centre for Climate Change
IIT (ISM) Dhanbad
Comprehensive petrophysical evaluation of the Gorgonichthys-1 exploration well, focusing on sonic tool design, wireline log quality control, porosity derivation, velocity analysis, shale volume estimation, and hydrocarbon pay zone determination.
Detailed Investigation Steps:
Tools: Python, Matplotlib, NumPy, LAS data processing
Technical geoscience content writing, event editorial, and geophysics student outreach.
Exploration geophysics articles, technical workshops, and chapter documentation.
Expert physics guidance, advanced problem solving, and academic quality assurance.
Seismic Reflection | DecisionSpace | Hampson-Russell
Recognized for national academic entrance rankings, premier competitive fellowships, and research excellence.
Achieved an exceptional All-India Rank of 11 in the nationwide entrance test for Jamia Millia Islamia's M.Sc. Physics program.
Awarded the prestigious national fellowship by the Department of Science & Technology (DST), Govt. of India for academic merit.
Winner of the university-wide scientific essay competition on "Recent Developments in Physics" (2022) across departments.
Verified credentials and technical training across subsurface software, petrophysics, remote sensing and GIS, and scientific computing — every entry links to the issuing body’s certificate.
Training most directly applicable to subsurface and geoscience work.
Industry Software Training
Petrophysical analysis and well-log evaluation workflows carried out inside the Petrel subsurface platform.
Industry Software Training
Working foundation in Petrel, the industry-standard platform for subsurface interpretation and modelling.
Government Certification
Multi-spectral satellite imagery, spectral band ratioing, alteration-zone delineation and mineral exploration targeting.
Complete list of certifications, courses and technical training.
Professional Certificate · with Honors
Supervised and unsupervised learning, classification, regression, clustering and model evaluation with scikit-learn.
Government Programme
Spatial data modelling, thematic land-use classification, hydrology and digital elevation model analysis.
Professional Certificate
Applied data science pipelines with NumPy and Pandas, REST APIs, web scraping and automated data-wrangling workflows.
Online Course
Core computational algorithms, data structures, control flow, functions and programmatic file processing.
Government Programme
Raster and vector spatial processing with GDAL, Shapely and GeoPandas, and automated satellite-data pipelines.
No certifications in this category yet.
Continuously building the bridge between geoscience and data science — new training is added here as it is completed.
“Learning never exhausts the mind.” — Leonardo da Vinci
Have a question, a collaboration in mind, or just want to talk about geophysics, data, or ideas?
I’d love
to hear from you.
Always open to remote collaborations across the globe.
