Statistics & Econometrics · SEM · Geospatial Analytics · Remote Sensing · Machine Learning
I work across statistical analysis, econometrics, structural equation modeling, geospatial analytics, remote sensing, machine learning, and qualitative data analysis.
I help clients and research collaborators organize data, select appropriate analytical methods, interpret results, and communicate findings clearly. My approach emphasizes transparent methods, appropriate model evaluation, and responsible interpretation.
Available for remote projects, individual tutoring, training, and research collaboration with clients in Indonesia and internationally.
- Descriptive and inferential statistics
- Hypothesis testing and regression analysis
- Econometric modeling and time-series analysis
- Model diagnostics and assessment of assumptions
- Interpretation and reporting of quantitative findings
Tools: Stata · EViews · Python · R
- Covariance-based Structural Equation Modeling (CB-SEM)
- Partial Least Squares Structural Equation Modeling (PLS-SEM)
- Measurement and structural model assessment
- Reliability and validity assessment
- Model evaluation and interpretation of results
Tools: SmartPLS · IBM SPSS Amos · LISREL
- Data cleaning, preprocessing, and transformation
- Exploratory data analysis and visualization
- Predictive modeling and image classification
- Model evaluation and interpretation
- Analytical workflows using Python and R
Tools: Python · R · Jupyter Notebook · TensorFlow · Keras
- Geographic Information Systems and spatial analysis
- Satellite remote sensing and Earth observation
- Environmental monitoring and land-use change analysis
- LiDAR processing and forest structure assessment
- Biomass and carbon analysis
- Geospatial visualization and map preparation
Tools: Google Earth Engine · QGIS · Python · R
- Interview and document analysis
- Qualitative data organization and coding
- Categorization and thematic analysis
- Interpretation and synthesis of findings
- Documentation of analytical decisions
Tool: NVivo
The projects below showcase selected work in remote sensing, environmental monitoring, geospatial analysis, and machine learning. My broader analytical services also include statistics, econometrics, SEM, and qualitative research.
| Project | Overview | Links |
|---|---|---|
| Mount Ruang Eruption Analysis | Satellite observations, CNN classification, meteorological analysis, and atmospheric dispersion modeling of the April 2024 eruption. | Repository |
| West Kalimantan PM2.5 & Wildfire Air Quality | Spatial estimation of PM2.5 and analysis of wildfire-related air quality, with an interactive dashboard. | Repository · Dashboard |
| Pulang Pisau Wildfire & Atmospheric Pollution | Satellite-based analysis of wildfire activity and atmospheric pollution in Central Kalimantan, Indonesia. | Repository |
| LiDAR Tree Detection & Above-Ground Biomass | Tree detection, crown segmentation, forest structure analysis, and above-ground biomass estimation. | Repository |
| Rice Leaf Disease Classification Using CNN | Application of convolutional neural networks to rice leaf disease classification. | Repository |
| Berau Deforestation & Carbon Analysis | Spatial analysis of deforestation, forest fragmentation, and carbon stock using R. | Repository |
- Data preparation, cleaning, and visualization
- Statistical analysis and econometric modeling
- SEM and PLS-SEM analysis
- Qualitative coding and thematic analysis
- GIS, remote sensing, and environmental data analysis
- Machine learning model development and evaluation
- Interpretation of results and preparation of analytical reports
- Individual and small-group instruction
- Practical guidance on analytical software
- Statistical concepts and method selection
- Interpretation of software outputs
- Guided analytical exercises and project-based learning
- Research design and analytical planning
- Review of methods and model specifications
- Presentation of results through tables, figures, and maps
- Editing and clarification of methods and results sections
- Journal formatting and submission preparation
- Support in preparing responses to reviewer comments
Research and manuscript support is collaborative, with authors retaining responsibility for their work. Publication decisions remain with journal editors and reviewers.
| Area | Tools |
|---|---|
| Programming & Data Analysis | Python, R, JavaScript, Jupyter Notebook |
| Statistics & Econometrics | Stata, EViews |
| Structural Equation Modeling | SmartPLS, IBM SPSS Amos, LISREL |
| GIS & Remote Sensing | Google Earth Engine, QGIS |
| Machine Learning | TensorFlow, Keras |
| Qualitative Analysis | NVivo |
| Atmospheric Dispersion | NOAA HYSPLIT |
- Clarify the project objective before selecting analytical methods.
- Assess data quality and relevant model assumptions.
- Explain methodological choices and analytical limitations.
- Document workflows to support review and reproducibility where applicable.
- Present findings clearly and draw conclusions supported by the analysis.
- Respect client confidentiality and agreed permissions for sharing materials.
- Applied statistics and econometrics
- Structural equation modeling
- Quantitative and qualitative research methods
- Geospatial data science and Earth observation
- Environmental monitoring and air quality
- Machine learning for environmental applications
- Forest structure, biomass, and carbon assessment
I welcome inquiries about data analysis, research consultation, tutoring, training, and collaboration from Indonesia and internationally.
For an initial discussion, please include your project objective, data type, required support, and preferred timeline.
M. Dedy Lesmana
Data Analysis · Research Consultation · Tutoring & Training