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dedylesmana/README.md

M. Dedy Lesmana

Freelance Data Scientist & Data Analyst | GIS | Remote Sensing | Statistics | Econometrics

I work on data-driven projects involving geospatial analysis, remote sensing, environmental data, statistics, econometrics, and machine learning.

Core Skills

Geospatial & Remote Sensing

  • GIS and spatial analysis
  • QGIS
  • Remote sensing
  • LiDAR data analysis
  • Google Earth Engine
  • Environmental and land-use analysis

Data Science & Machine Learning

  • Python
  • R
  • Data processing and visualization
  • Statistical analysis
  • Machine learning
  • Predictive modeling

Statistics & Econometrics

  • Statistical modeling
  • Econometric analysis
  • Structural Equation Modeling (SEM)
  • PLS-SEM
  • AMOS
  • Stata
  • EViews

Qualitative Analysis

  • NVivo
  • Qualitative data analysis

Selected Projects

West Kalimantan PM2.5 Estimation & Wildfire Air Quality

Remote sensing-based spatial estimation of PM2.5 and wildfire-related air quality analysis in West Kalimantan, Indonesia.

Tools: NASA FIRMS, Sentinel-5P, ERA5-Land, WorldPop, Google Earth Engine, Python, Random Forest.

View Project | Live Dashboard

Pulang Pisau Wildfire & Atmospheric Pollution

Remote sensing and atmospheric pollution analysis related to wildfire activity in Central Kalimantan.

View Project

LiDAR Tree Detection & Above-Ground Biomass

LiDAR-based analysis for tree detection, crown segmentation, forest metrics, and above-ground biomass estimation.

Berau Deforestation & Carbon Analysis

Spatial analysis of deforestation, forest fragmentation, and carbon stock using R.

Tools & Technologies

Python R QGIS Google Earth Engine LiDAR Machine Learning GIS Remote Sensing Stata EViews AMOS PLS-SEM NVivo

Contact

Open to freelance projects and collaborations involving:

Available for freelance data analysis, geospatial analysis, remote sensing, statistical modeling, econometrics, and machine learning projects.

  • Data analysis
  • Statistics and econometrics
  • GIS and spatial analysis
  • Remote sensing
  • Environmental data
  • Machine learning
  • LiDAR analysis

Pinned Loading

  1. wildfire-air-quality-west-kalimantan wildfire-air-quality-west-kalimantan Public

    Remote sensing-based PM2.5 estimation and wildfire air quality analysis using NASA FIRMS, Sentinel-5P, Google Earth Engine, ERA5-Land, WorldPop, and Python in West Kalimantan, Indonesia.

    Jupyter Notebook

  2. wildfire-air-quality-pulang-pisau-central-kalimantan wildfire-air-quality-pulang-pisau-central-kalimantan Public

    Remote sensing-based wildfire and atmospheric pollution analysis using NASA FIRMS, Sentinel-5P, Google Earth Engine, and python

    Python

  3. lidar-tree-detection-agb-r lidar-tree-detection-agb-r Public

    Professional LiDAR analysis in R for tree detection, crown segmentation, forest metrics, and above-ground biomass estimation.

    R 1

  4. dem-elevation-analysis-r dem-elevation-analysis-r Public

    Spatial analysis of DEM data in R: elevation classification, raster clipping, and area calculation for two sub-districts

    R

  5. berau-deforestation-fragmentation-carbon-analysis berau-deforestation-fragmentation-carbon-analysis Public

    Spatial analysis of deforestation, forest fragmentation, and carbon stock in Berau Regency using R

    R

  6. Mini_Project_CNN_RiceLeaf Mini_Project_CNN_RiceLeaf Public

    Deep Learning project for rice leaf disease classification using Convolutional Neural Network (CNN) with TensorFlow and Keras

    Jupyter Notebook