Pavan Raj K G

GIS,MIS & IT Specialist

watershed development department•  June 2021 - Present•  Bengaluru

Collected, cleaned, and preprocessed data from various sources, including satellite imagery, remote sensors, and agricultural databases, ensuring data quality and reliability. Built and deployed predictive models using Python and machine learning algorithms to forecast agricultural yields and water resource requirements, improving the efficiency of watershed management. Created interactive visualizations, maps, and dashboards to present analysis results to stakeholders, including farmers and policymakers, facilitating datadriven decision-making. Collaborated with agronomists, soil scientists, and other domain experts to align data science projects with departmental goals and ensure relevance to agricultural challenges. Developed a Management Information System (MIS) to streamline data collection, storage, and reporting processes, enhancing data accessibility and supporting informed decision-making. Developed custom algorithms for spatial data analysis, integrating GIS with statistical modeling techniques to support soil and water conservation initiatives. Developed geospatial machine learning models that incorporated spatial data as features to enhance prediction accuracy and provide actionable insights. Conducted research to explore and implement innovative data science methods for improving agricultural productivity and sustainability. Assisted in developing decision support systems that optimized resource management and improved farming practices, contributing to increased crop yields and reduced resource wastage.

Jr Business Analyst

TECHNOSYS INDIA•  February 2017 - October 2020•  Bengaluru

Managed and analyzed customer data for 300+ machinery varieties, providing data-driven insights to enhance customer relationship management and optimize marketing strategies. Led marketing optimization efforts through data analysis on platforms like IndiaMart, Justdial, and Trade India, improving customer acquisition and retention. Developed and maintained data models and reports using Python and Excel, resulting in a 20% increase in operational efficiency and more informed business decision-making. Implemented data monitoring systems, collaborated with cross-functional teams to analyze business processes, and identified KPIs to drive continuous improvement and support strategic planning.