11/10/2026 updated
100 % available
MS Geology Graduate | CO2 Sequestration & Reactive Transport Modelling Specialist
Salem, India
Only remote
Int BS-MS Earth & Environmental Sciences, Geology Major (IISER Bhopal, May 2026)About me
I am a Geologist with a background in Earth and Environmental Sciences and interested in combining geological knowledge with data science. I work with Python, QGIS, ArcGIS, MATLAB, and other scientific tools for data analysis, GIS mapping, remote sensing, and geological modelling.
Data AnalysisGeochemistryGeologyR (Programming Language)Python (Programming Language)MATLABMachine LearningReservoir ModelingScientific Programming
Reactive Transport Modelling
Development and validation of a 1D Python-PHREEQC reactive transport model simulating CO2 mineralisation, porewater chemistry evolution, porosity-permeability coupling using Kozeny-Carman, and mineral kinetics (TST rate law) in Deccan basalts. Comparison of injection strategies including single-burst, continuous, and pulsed WAG across multiple basalt systems.
Python-Based Scientific Programming
Proficiency in Python programming using libraries such as NumPy, Pandas, Matplotlib, Scipy, and Scikit-learn for scientific computing, seismic data processing, machine learning model development, and automation of geoscientific workflows.
Seismic Data Analysis
Processing and analysis of seismic datasets to interpret shear wave splitting parameters and understand seismic anisotropy. Implementation of STA/LTA algorithms for real-time earthquake detection and execution of seismic data analyses using tools such as SplitLab 1.9.0, SAC, and GMT.
XRD and Petrographic Analysis
Application of X-ray diffraction (XRD), petrographic thin section analysis, and porosity measurement for characterisation of basalt samples and lava flow sequences across the Malwa Plateau.
Geospatial Analysis
Hands-on experience with QGIS, Google Earth Engine, and Google Maps for geospatial visualisation, GIS application development, and remote sensing data interpretation.
Machine Learning for Geoscience
Development and evaluation of machine learning models including Linear Regression, KNN Regressor, Decision Tree, Random Forest, and Gradient Boosting for predictive analysis and sales forecasting tasks.
MATLAB and R Programming
Use of MATLAB and R for scientific data analysis and computational tasks in geoscience research contexts.
Environmental Chemistry Analysis
Knowledge in water and food quality analysis through hands-on experience with organic, inorganic, pesticide, and aflatoxin analysis using advanced technologies, as well as understanding of water treatment plants and PFAS analysis.
Carbon Capture and Storage
Understanding of CO2 storage mechanisms in depleted oil and gas fields, coal bed methane, saline aquifers, and basalt formations, including field observation of basalt outcrops and knowledge of the status of CCS in India.
Development and validation of a 1D Python-PHREEQC reactive transport model simulating CO2 mineralisation, porewater chemistry evolution, porosity-permeability coupling using Kozeny-Carman, and mineral kinetics (TST rate law) in Deccan basalts. Comparison of injection strategies including single-burst, continuous, and pulsed WAG across multiple basalt systems.
Python-Based Scientific Programming
Proficiency in Python programming using libraries such as NumPy, Pandas, Matplotlib, Scipy, and Scikit-learn for scientific computing, seismic data processing, machine learning model development, and automation of geoscientific workflows.
Seismic Data Analysis
Processing and analysis of seismic datasets to interpret shear wave splitting parameters and understand seismic anisotropy. Implementation of STA/LTA algorithms for real-time earthquake detection and execution of seismic data analyses using tools such as SplitLab 1.9.0, SAC, and GMT.
XRD and Petrographic Analysis
Application of X-ray diffraction (XRD), petrographic thin section analysis, and porosity measurement for characterisation of basalt samples and lava flow sequences across the Malwa Plateau.
Geospatial Analysis
Hands-on experience with QGIS, Google Earth Engine, and Google Maps for geospatial visualisation, GIS application development, and remote sensing data interpretation.
Machine Learning for Geoscience
Development and evaluation of machine learning models including Linear Regression, KNN Regressor, Decision Tree, Random Forest, and Gradient Boosting for predictive analysis and sales forecasting tasks.
MATLAB and R Programming
Use of MATLAB and R for scientific data analysis and computational tasks in geoscience research contexts.
Environmental Chemistry Analysis
Knowledge in water and food quality analysis through hands-on experience with organic, inorganic, pesticide, and aflatoxin analysis using advanced technologies, as well as understanding of water treatment plants and PFAS analysis.
Carbon Capture and Storage
Understanding of CO2 storage mechanisms in depleted oil and gas fields, coal bed methane, saline aquifers, and basalt formations, including field observation of basalt outcrops and knowledge of the status of CCS in India.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
GermanBasic knowledgeEnglishFluentHindiGood
Project history
Built a 1D Python-PHREEQC reactive transport model simulating CO2 mineralisation, porewater chemistry, and porosity-permeability evolution in Deccan basalts. Compared three injection strategies across Mhow and CRBG basalt systems. Conducted field documentation of 20 outcrops with XRD, petrographical, and petrophysical characterisation.
Participated in a 2-day technical workshop on petroleum systems covering source rock geochemistry, reservoir and cap rocks, petrophysics, seismic exploration methods, and well log interpretation.
Participated in a 3-day workshop on Carbon Capture and Storage covering major CO2 storage options and the status of CCS in India. Included a field visit to a basalt outcrop to observe red boles, vesicular, and massive basalts.