👨🏼💻 Data Science | 📊Data & Business Analysis | AI & ML💻 |
🛰 Remote Sensing and GIS🌏 | Agriculture 🌱
👨🏼💻 Data Science | 📊Data & Business Analysis | AI & ML💻 |
🛰 Remote Sensing and GIS🌏 | Agriculture 🌱
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🛰 Remote Sensing and GIS🌏 | Agriculture 🌱
I am a simple and passionate individual with over six years of experience in the fields of Data Science, Data Analytics, and Geospatial Analysis (remote sensing and GIS). I am always eager to learn and explore new technologies, which I aim to apply in a wider range of applications.
I possess an MBA in Information System Management and a Master's degree in Geoinformatics from the University of Madras, a leading Indian University. Additionally, I hold a Bachelor's degree in B.Tech Agricultural Information Technology from the Tamil Nadu Agricultural University. My expertise lies in data analysis, data visualization, satellite imagery analysis, development of GIS applications, and visualizing geospatial data.
I am skilled in utilizing free and open source solutions, and I place a high value on attention to detail, problem-solving ability, writing well-documented and efficient code, and delivering results promptly.
I have an enthusiasm for finding intelligent solutions to location based and data analysis problems.
Professional Summary
Professional Summary
Experienced in data visualization, data analytics, data pipeline and visualization tools such as Tableau, PowerBI, ESRI dashboard, Looker, Google Data Studio and MS Excel.
Proficient in utilizing ESRI's suite of online products, including ArcGIS Online, to create interactive web maps, dynamic dashboards, and compelling story maps for data visualization and communication.
Skilled in leveraging key GIS ESRI products such as ArcGIS Pro and ArcGIS Enterprise to perform advanced geospatial analysis, develop custom workflows, and generate insightful reports for decision-making processes. Additionally, adept at integrating ESRI Jupyter Notebooks into workflows for scripting, automation, and analysis, enhancing efficiency and scalability.
Excellent Programming Skills in Python, R and JavaScript and Strong knowledge on developing algorithms ( ML, DL) for geospatial analysis.
Expertise in Data Mining, Statistical Analysis, Regression, Segmentation, Time Series Forecasting, and modelling.
Handled a big data on google cloud and worked on BigQuery.
Experienced with handling of variety Raster data (GeoTIFF, DEM, HDF4, netCDF and GRD) and Vector data (Shp, GeoJSON, KML, OSM, GeoPackage, LAS and WKT) .
Experienced in Agile (Scrum) way of working.(example: trello, Jira, atlassian, slack , confluence ) .
Strong Proficiency in processing and analyzing the satellite imageries using geospatial software packages such as ArcMap ,ArcGIS Pro, Qgis, ENVI, ERDAS, SNAP, Idrisi and SAGA GIS.
Incorporate python scripting in ArcGIS to customize toolset for geoprocessing and building models in ArcGIS, Qgis, SNAP and Erdas imagine.
Experienced on Developing WebGIS application using HTML, CSS, Bootstrap, Java Script, PHP, PostgreSQL and Geoserver.
Working knowledge of Google Earth engine for analyzing images, time series analysis of images, ML classifications such as CART, Random Forest, NaiveBayes and SVM.
Research experience in applications to digital soil mapping, crop identification, crop area estimation, crop monitoring, change detection, sea surface temperature, urban flood, urban heat island and natural hazard assessment.
Worked with a cross-functional team of analysts, software engineers and DevOps engineers to apply state-of-the-art GIS practices into production workflows.
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