Yash Upadhyay

Experience

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  Defence Research and Development Organisation (DRDO)

  Jul 2022 - Sept 2022

  Data Science Intern

  During my internship at DRDO’s Defence Geoinformatics Research Establishment (DGRE), I had the opportunity to work on a highly impactful project focused on Landslide Prediction using real-time geoinformatics data. This experience allowed me to deepen my expertise in machine learning, data science, and predictive modeling while contributing to a critical real-world application.My role involved leading a project aimed at building a predictive model for landslide occurrences. I applied a range of machine learning algorithms—Decision Trees, Random Forest, and multiple regression techniques (Linear, Logistic, and Polynomial regression)—to explore various ways of predicting landslide risks. In addition, I optimized advanced ensemble models like CATBoost and LightGBM, achieving an impressive 90.12% prediction accuracy, which surpassed initial benchmarks.One of the key aspects of this project was working with geospatial. I spent considerable time on data preprocessing and feature engineering, ensuring the data was clean, consistent, and ready for analysis. This step was critical in improving the model’s performance and making the predictions reliable.I also took on the challenge of leading a diverse team during the project.Working closely with the team, we tackled several technical challenges, including real-time data integration and improving the accuracy of our models.On the visualization side, I used tools like Matplotlib and Seaborn to create intuitive charts and graphs that helped us make sense of the data This ensured that the data-driven decisions we made were easily understood and actionable real-world problems in geoinformatics and disaster management.Overall, this internship gave me hands-on experience with various machine learning models and algorithms, from initial data processing to model deployment. I also enhanced my leadership and teamwork skills, managing the project effectively while ensuring continuous improvement and innovation. Show less