Highly motivated Ph.D. Research Scholar specializing in advanced hydrological modeling and data-driven approaches for sustainable water resources management. Leverages expertise in machine learning, remote sensing, and innovative modeling to address climate resilience and impact assessment. Proven ability to conduct cutting-edge research, publish in peer-reviewed journals, and contribute to international scientific collaboration.
Intern
Raipur, Chhattisgarh, India
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Summary
Contributed to critical civil engineering projects focused on urban water infrastructure development and management.
Highlights
Assisted in the planning and execution phases for the construction of an 80 MLD Water Treatment Plant, ensuring adherence to project specifications and quality standards.
Gained hands-on experience in municipal water supply infrastructure, directly contributing to enhanced urban water security and public health.
Collaborated effectively with project engineers and urban development specialists, applying theoretical civil engineering knowledge to practical, large-scale challenges.
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Ph.D.
Hydrology
Grade: CGPA: 9.818
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M. Tech
Water Resource Development and Irrigation Engineering
Grade: CPI: 8.55
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B. Tech
Civil Engineering
Grade: CGPA: 9.27
Awarded By
Graduate Aptitude Test in Engineering (GATE)
Achieved qualification in the highly competitive Graduate Aptitude Test in Engineering (GATE) in both 2021 and 2022, demonstrating strong foundational knowledge in engineering disciplines.
Awarded By
OP Jindal University, Raigarh
Secured 1st prize in both Paper Presentation (TECHDOCS) and Poster Presentation (TECHLAB) at Technorollix-2020, demonstrating strong research, presentation, and communication skills.
Awarded By
All India Council for Technical Education (AICTE)
Selected for the National Convention under the AICTE Chhatra Vishwakarma Award 2019, recognizing innovative student projects and significant contributions to technical education.
Awarded By
K.D.K. College of Engineering, Nagpur
Awarded 1st prize in the poster-making competition at the Innovation in Civil Engineering Model Competition (ICEMC-19), showcasing excellence in project conceptualization and visual communication.
Published by
Journal of Hydrology
Summary
Investigated the efficacy of the MC-LSTM model in enhancing streamflow prediction reliability within human-influenced watersheds, contributing to advanced hydrological modeling techniques and improved water resource management.
Published by
Acta Geophysica
Summary
Developed robust streamflow projections by integrating Land Use/Land Cover (LULC) changes and various climate change scenarios, utilizing HEC-HMS and optimizing CMIP6 data for precise hydrological assessments.
Published by
Songklanakarin Journal of Science and Technology (SJST)
Summary
Conducted a comprehensive comparative statistical study on CMIP6 climate models to rigorously evaluate their performance in assessing ground-observed climatic variables, thereby enhancing climate model validation methodologies.
Published by
H2O & Climate: Hydraulics, Hydrology & Climate Conference
Summary
Presented a case study on Meerut City, demonstrating the integration of remote sensing data and Artificial Neural Networks for dynamic land use change projections, providing valuable insights for urban hydrological planning.
Published by
19th Chhattisgarh Young Scientist Congress
Summary
Presented innovative research on applying Artificial Intelligence and Machine Learning techniques to improve runoff prediction for the Mahanadi River, highlighting advanced approaches in hydrological forecasting.
Published by
International Conference on Water Resources Management and Sustainability
Summary
Presented a poster detailing the integration of remote sensing data and Artificial Neural Networks for projecting land use and land cover changes in semi-arid regions of India, contributing to regional water management strategies.
Published by
GeoJournal
Summary
Analyzed and modeled land use/land cover transformations within the Mahanadi River basin, providing critical insights into historical trends and future projections essential for regional planning and sustainable development.
Python, MATLAB, Auto CAD, Data Analysis Tools.
Scientific Writing, Peer Review, Publication, Conference Presentation, Poster Presentation, Problem Solving, International Collaboration.
Water Resource Development, Irrigation Engineering, Urban Development, Project Specifications.
Hydrological Modelling, HEC-HMS, Streamflow Prediction, Water Resource Management, Climate Change Impact Assessment, CMIP6 Data Analysis, Water Treatment Plant Operations.
Machine Learning Applications in Hydrology, MC-LSTM Model, Artificial Neural Networks, Data-driven Approaches, Runoff Prediction, Statistical Analysis.
Remote Sensing Applications in Water Resources, ArcGIS, Land Use/Land Cover (LULC) Transformation, Satellite Imagery Analysis, Surveying Instruments.