Summary

Interdisciplinary researcher working at the intersection of remote sensing, GIS, machine learning, and hydrological modeling.

Education

• Remote Sensing and GIS Applications

  2023
  Aligarh Muslim University

  GPA: 7.4/10
• Computer Applications

  2021
  Dr. Bhim Rao Ambedkar University

  GPA: 69%

Work Experience

• Junior Research Fellow

  2026-04-01 -
  National Institute of Hydrology

  Working on hydrological and hydrogeological studies for Punjab, with emphasis on GIS, remote sensing, groundwater analysis, irrigation assessment, and hydrological reporting.

  • Prepared GIS-based spatial analysis using QGIS, ArcGIS, and Google Earth Engine.
  • Built Python workflows for spatial interpolation and Sen's slope trend analysis.
  • Integrated WRIS, GRACE, CGWB, WaPor, and DynamicWorld datasets for groundwater and streamflow analysis.
• Resource Person

  2025-02-01 - 2026-03-31
  National Institute of Hydrology

  Developed machine learning and hydrological training resources, including the ResSed forecasting platform.

  • Led development of a deep learning-based GUI platform for time-series stochastic component forecasting.
  • Implemented Monte Carlo simulations for uncertainty quantification.
  • Delivered technical sessions on Random Forest, LSTM, regionalization, and stochastic hydrology.
• Software Developer / Data Systems Engineer

  2023-08-01 - 2024-10-31
  Skitbit Pvt. Ltd.

  Built Python data pipelines, REST APIs, validation systems, and ML-ready data workflows.

  • Transformed unstructured technical logs into structured datasets.
  • Developed APIs for internal applications and downstream ML models.
  • Used Git-based workflows, CI/CD practices, testing, and data validation.

Skills

Publications

• Machine Learning-based LSTM Model for Drought Prediction in Bikaner, Rajasthan

  2024
  National Conference on Population Dynamics, Development and Environment: Problems & Prospects

  Conference presentation at Aligarh Muslim University.

  View Publication
• AI-Powered Inversion and Big Data Scenario Analysis for River Management

  2024
  International Conference on Sustainable Urban Water Management in Fast Growing Cities

  Conference presentation at BITS Pilani.

  View Publication
• Benchmarking Machine Learning Models for Non-Stationary Hydro-Climatic Extremes
  Working paper

  Working paper on hybrid and generalizable machine learning frameworks.

  View Publication

Interests

• Research Interests

  Climate extremes, Drought monitoring, Hydro-climatic risk, Climate regionalization, Remote sensing, Water resources