Aakash Bhatt

πŸš€ Data Scientist | Geospatial Analytics | Remote Sensing | Machine Learning | Python | FastAPI | Django | MongoDB | MYSQL | Pandas | Numpy | GDAL | Rasterio | Deep Learning | SKlearn | EDA | AWS

Role
Data Scientist at Mantle Labs
Location
Thane, MH, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Aakash Bhatt

Passionate Data Scientist | Geospatial Expert | Remote Sensing & Machine…

Experience

  1. Data Scientist

    Mantle Labs

    Mar 2022 β€” Present Β· Mumbai, IN

    1⃣ Weather Parameter ExtractionDeveloped a system to extract weather parameters such as rainfall and temperature from global TIFF files using Python, MySQL, and AWS.2⃣ Nitrogen Content & Soil Health APIBuilt REST APIs using Python, MySQL, and Django Rest Framework to compute nitrogen content, crop health, and soil composition for agricultural analysis.3⃣ Deforestation DetectionImplemented a deforestation identification mechanism using NDVI values, Hansen dataset, and Prodes dataset, leveraging Python, Machine Learning, PostgreSQL, and FastAPI.4⃣ Raster Pixel FilteringDesigned a pixel filtering mechanism for raster files using Python, PostgreSQL, and FastAPI to enhance data precision and usability.5⃣ Protected Area DetectionDeveloped a mechanism to identify protected areas within a 100 km radius of a given point using Python, FastAPI, GDAL, and Rasterio.6⃣ Raster ResamplingCreated a raster resampling mechanism to modify the resolution of raster files using Python, Rasterio, and GDAL.7⃣ Raster Processing ToolsBuilt common geospatial processing functionalities such as clipping and merging raster files using Python, Rasterio, GDAL, and GeoPandas.8⃣ Pixel Value Extraction APIDeveloped a REST API that retrieves pixel values from raster files based on latitude and longitude inputs using Python, Rasterio, Rio-Tiler, and Django.9⃣ Raster Data Visualization APICreated a REST API to visualize large raster datasets in z-x-y tile format for seamless web-based rendering, leveraging Python, Rasterio, Rio-Tiler, and FastAPI. Average NDVI CalculationDesigned a system to compute tile-wise and year-wise average NDVI values for multi-temporal analysis.1⃣1⃣ Polygon Eligibility APIDeveloped an eligibility-checking REST API that allows users to draw polygons and verify their validity. The API includes checks for polygon overlap, correctness, and eligibility of the drawn area, using Python and Django Rest Framework.

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Aakash Bhatt β€” Data Scientist at Mantle Labs in Thane, MH, IN | Unifers