MARATI SANDHYA

Worked on regression, classification, clustering, and time series models in our analytics product. Worked on advanced ML Algorithms with H2o.ai Package on different Datasets for Optimum results in jupyter. Resolved production issues promptly, enhancing model stability and performance. Implemented MOJO functionality, which saves time and resources while improving system efficiency. Conducted thorough log analysis, leading to actionable insights and code enhancements. Engaged in R&D to explore innovative statistical methodologies and algorithms for product enhancement. Performed Hyperparameter tuning for Increasing model Accuracy. Gained hands-on experience in data science methodologies and tools, applying theoretical knowledge to real-world scenarios, and delivering tangible results.

Conducted end-to-end code reviews for regression, classification, clustering, and time series models. Extracted actionable insights from log analysis, enhancing model performance and decision-making. Analyzed model results to identify trends and areas for improvement, driving iterative enhancements. Created impactful data visualizations to communicate insights effectively to stakeholders. Hands-on experience with utilizing procedures and cursors in Python to fetch data.

Conducted research on water quality prediction utilizing satellite imagery and proposed and validated innovative methodologies for satellite image acquisition. Processed and analyzed satellite imagery data to extract relevant features and patterns indicative of water quality parameters from Google earth. Utilized multispectral satellite imagery from platform Landsat, Sentinel-2 to capture and analyze data across different spectral bands. Applied image processing techniques to extract water quality parameters. Calculate spectral indices such as the Normalized Difference Vegetation Index (NDVI) or the Water Quality Index (WQI) from satellite imagery.

Assisted in the planning, coordination, and execution of various events under the guidance of senior event management professionals. Facilitated communication with clients, vendors, and stakeholders to ensure smooth coordination and execution of events. Provided administrative support, including maintaining event databases, preparing event materials, and managing correspondence.