■Developed and implemented agro-environmental system management predictive models by applying principles of deterministic modeling, data science, machine learning, and artificial intelligence to provide solutions to our client's various problems in a time-efficient manner resulting in boosting client confidence in the company’s product.■Automated workflows and data pipelines for analysing complex model inputs/output data , and data preprocessing using Python while handling relational… Show more ■Developed and implemented agro-environmental system management predictive models by applying principles of deterministic modeling, data science, machine learning, and artificial intelligence to provide solutions to our client's various problems in a time-efficient manner resulting in boosting client confidence in the company’s product.■Automated workflows and data pipelines for analysing complex model inputs/output data , and data preprocessing using Python while handling relational databases leading to optimized model runtime and saving valuable man-hours.■Developed network and built collaboration with researchers and scientists from various research institutes and universities to conduct research, organize lab/field experiments, and collect experimental data, resulting in successful proof of concept projects for the company's future products.■Managed the entire project grant submitting process, including writing, strategic thinking and coordinating with stakeholders securing 4M CAD in funding for the development of new AI/ML driven technology for agro-environmental system management. ■Performed data validation, statistical analysis, and analyzed data collected from the lab/field experiments, other research studies, etc. to understand complex biophysical agro-environmental processes resulting in a better model simulation accuracy that boosted the client’s confidence in the company’s product.■Prepared written and oral presentations to summarize modeling and data analysis results, interpret findings, and provide recommendations to the company’s CTO and other software and machine learning engineers resulting in smooth deployment of the developed models into production following Agile project management methodology. Show less

■ High level of pedagogy in Water resource Engineering, Hydrology, Hydrological modelling and GIS and Remote sensing technology as demonstrated by managing/tutoring graduate level class of size 50+.■ Expertise communication skills in explaining complex topics to diverse audiences, as evidenced by tutoring and teaching 6+ graduate-level courses.■ Excellent time management skills as demonstrated by on-time grading of exam materials and assignments.… Show more ■ High level of pedagogy in Water resource Engineering, Hydrology, Hydrological modelling and GIS and Remote sensing technology as demonstrated by managing/tutoring graduate level class of size 50+.■ Expertise communication skills in explaining complex topics to diverse audiences, as evidenced by tutoring and teaching 6+ graduate-level courses.■ Excellent time management skills as demonstrated by on-time grading of exam materials and assignments. Show less

■ Developed a complex water resources/environmental computer simulation model while working in a project involving multiple partners from international institutions like USDA, AAFC and CSU securing $200,000 for the development of computer applications and $150,000 as fellowships and travel grants.■ Applied Python\Matlab and its libraries to clean, visualize and analyze large environmental datasets resulted in successful calibration, and validation of multiple hydrological computer… Show more ■ Developed a complex water resources/environmental computer simulation model while working in a project involving multiple partners from international institutions like USDA, AAFC and CSU securing $200,000 for the development of computer applications and $150,000 as fellowships and travel grants.■ Applied Python\Matlab and its libraries to clean, visualize and analyze large environmental datasets resulted in successful calibration, and validation of multiple hydrological computer simulation models to simulate phosphorus loss through different hydrological pathways from a watershed.■ Used Python\Matlab and its libraries to apply artificial intelligence and machine learning principles resulted in successful development of auto-calibration algorithms, parameter optimization algorithms and sensitivity analysis algorithms for the developed model.■ Demonstrated written and oral communication skills of transmitting the results of the scientific studies using Python’s data visualization libraries to diverse audiences, as evidenced by multiple scientific publications in high impact factor international journals and several oral presentations at international conferences. Show less

■ Demonstrated excellent leadership and project management skills as a government statutory engineer and head of the office, which resulted in the skillful management of an inter-disciplinary team of 12+ engineers and technicians and timely execution of World Bank-funded hydrological projects. ■ Conducted feasibility studies, preparing detailed project reports and executing hydrological projects which resulted in securing $ 3 million project funding from the World Bank.… Show more ■ Demonstrated excellent leadership and project management skills as a government statutory engineer and head of the office, which resulted in the skillful management of an inter-disciplinary team of 12+ engineers and technicians and timely execution of World Bank-funded hydrological projects. ■ Conducted feasibility studies, preparing detailed project reports and executing hydrological projects which resulted in securing $ 3 million project funding from the World Bank. ■ Applied hydrologic and hydraulic models like HEC-RAS, HEC-HMS, HEC-SSP, Mike Flood and SWAT as demonstrated by 20+ studies of dam break analysis, flood plain modelling, rainfall-runoff modelling, flood protection work design & modelling, water balance study, design flood estimation, flood routing etc.■ Used SQL, PL/SQL, GIS and remote sensing software packages (Arc-GIS, ENVI, ERDAS-IMAGINE) for preparation of numerous maps, hydrological analysis and report generation, GIS model development for the stakeholders, field agencies, support staff personnel and end users of GIS.■ Used Python, Matlab to automate hydrological model’s simulation and to analysis the simulation results of hydrological models which resulted in project cost reduction and increased accuracy of hydrological predictions.■ Demonstrated legal and regulatory awareness in monitoring surface and groundwater quantity and quality, managing water census which lead to frame government policies for water resource management, water licensing and environmental management. Show less