Data Science Aspirant | Machine Learning Enthusiast | GIS and Remote Sensing

I'm a passionate researcher with a strong enthusiasm for GIS, Remote Sensing, Machine Learning, and Data Science. My goal is to turn raw data into meaningful insights and actionable decisions.

• Programming Languages: Python
• Data Manipulation: Pandas, NumPy, Excel
• Data Visualization: Matplotlib, Seaborn, Plotly, Ggplot2
• Machine Learning: Scikit-Learn (Beginner)
• Statistical Analysis: Regression analysis, EDA, PCA, ANOVA, Chi-square test, t-test
• Tools: Google Colab, Jupyter Lab, R Studio, Linux
• GIS: ArcGIS, QGIS, Google Earth Engine, Geopandas, Folium

• The Data Science Course: A Complete Data Science Bootcamp
• Geospatial Analysis
• Mathematics for Machine Learning

1. Project 1: Project Name

   • Brief description of the project and its impact.
   • Technologies used: Python, TensorFlow, etc.

2. Project 2: Project Name

   • Brief description of the project and its impact.
   • Technologies used: Python, Scikit-Learn, etc.

Feel free to connect with me on LinkedIn or Twitter. You can also check out my personal website for more details.