Decoding the ionosphere from orbit — bridging satellite data, machine learning, and space weather science to navigate the unexplored frontiers between Earth and space.
I am a space scientist and researcher specializing in ionospheric dynamics, GNSS signal analysis, and machine learning for space weather applications. Currently based in Nantes, France, I work at GEOLOC, Université Gustave Eiffel on an ESA-funded project developing advanced positioning solutions.
My doctoral research at IIT Indore focused on studying the low-latitude ionosphere using India's NavIC constellation — one of the first comprehensive investigations combining NavIC and GPS data across Indian geographic locations. My work spans magnetic reconnection, plasma energization, geomagnetic storms, and satellite navigation.
I am deeply committed to open science, international collaboration, and mentoring the next generation of space scientists. I have led IEEE Student Branch activities and volunteered at CEDAR workshops in Boulder, Colorado.
GNSS & NavIC TEC, scintillation indices (S4, ROTI), solar & magnetic indices, model-data comparisons, low-latitude plasma irregularities.
Ionospheric (TEC) modeling, Kalman filtering, GNSS/INS data fusion, Numerical Weather Prediction models in Fortran.
Python (NumPy, SciPy, Matplotlib), MATLAB, Git, Docker. Data formats: NetCDF, RINEX, HDF5, NMEA, ISMR, ASCII.
Supervised learning for GNSS error correction, data modeling, ML-based event detection from multi-decade satellite datasets (95.6% precision).
NavIC, GPS, RTK & PPP evaluations, multi-GNSS comparative analysis, near real-time signal processing, GNSS/INS fusion algorithms.
Expert in ionospheric trend visualization, GNSS signal quality interpretation, space weather event mapping, and data storytelling.
Project: NAVISP – CHARLI (ESA-funded) — Positioning solutions for firefighters using GNSS
Project: Study of Low Latitude Ionosphere using NavIC — funded by DST & ISRO (NGP-27)
Designed sensor prototypes, authored design proposals and pitch decks, explored inertial navigation and avionics systems, and executed simulation iterations.
Worked with INCOIS scientists on Sea Surface Temperature analysis linked to ENSO and Indian Monsoon. Hands-on with Fortran NWP models and Automatic Weather Station data.
Astronomy, Astrophysics & Space Engineering
Grade: A+Satellite Meteorology & Weather Informatics
Distinction · Gold MedalAeronautical Engineering
DistinctionDevelopment of a commercial GNSS-based positioning and tracking solution for firefighters in challenging indoor/outdoor environments. Involves GNSS/INS data fusion and ML-enhanced localization accuracy.
First systematic study combining NavIC and GPS across Indian stations to analyze ionospheric disturbances, geomagnetic storms, plasma irregularities, and troposphere-ionosphere coupling.
Investigated ionospheric signatures during Tropical Cyclones Amphan and Nisarga using GNSS data, revealing upper-atmospheric coupling mechanisms triggered by extreme weather events.
Analyzed Total Electron Content variations over central India during the Annular Solar Eclipse of June 21, 2020, capturing ionospheric depletion and recovery dynamics.
First study examining intense geomagnetic storm effects on NavIC signals at Indore, demonstrating NavIC's superior spatial and temporal coverage for ionospheric monitoring.
Led mentorship of 9+ students developing linear regression ML models to detect space weather events from 2–5 decade satellite datasets, achieving 95.6% detection precision.
I am always open to research collaborations, academic discussions, and opportunities in space science, GNSS, and machine learning. Whether you are a fellow researcher, institution, or industry partner — feel free to reach out.