M.Sc. Statistics
2025 – 2027

B.A. (Hons.) Statistics
🥇 University Gold Medalist

I am currently pursuing an M.Sc. in Statistics at Aligarh Muslim University. My interests lie in Spatial Statistics, Time Series Analysis, Bayesian Modelling, Machine Learning, GIS and Remote Sensing.

I enjoy applying statistical methods and geospatial technologies to understand environmental and real-world data.

May 2026 – Present (Remote)

Supervisor: Dr. Ashootosh Mandpe
Department of Civil Engineering

Research Areas:

• GIS & Remote Sensing
• Machine Learning Based Spatial Modelling
• Land Use / Land Cover Analysis
• Illegal Dumping Site Detection
• Landfill Site Suitability Assessment
• Geospatial Literature Review

Tools:

Google Earth Engine QGIS R Spatial Analysis

2026

Worked on academic and research-oriented activities related to population and development studies.

M.Sc. Dissertation Project

This study investigates vegetation dynamics in Aligarh District using MODIS satellite data and statistical time series models.

• Google Earth Engine (GEE)
• MODIS NDVI Data
• R Programming
• QGIS
• ARIMA
• SARIMA
• Bayesian Linear Regression

✔ NDVI Trend Analysis

✔ Seasonal Decomposition

✔ Forecast Modelling

✔ Validation Using 2025 Data

✔ Spatial Analysis

• R
• Python

• Google Earth Engine
• QGIS
• MODIS Data Processing
• Remote Sensing

• Power BI
• SPSS
• Microsoft Excel

• Bayesian Inference
• Survival Analysis
• Regression Analysis
• Time Series Analysis
• Statistical Quality Control
• Machine Learning

Satellite-based vegetation monitoring and forecasting using MODIS NDVI data, GEE and R.

Statistical analysis of Virat Kohli's centuries using Power BI and R.

Applications of GIS and Remote Sensing in environmental and spatial studies.

🥇 University Gold Medalist — Patna University

🎓 Merit Award Recipient (2025–26)

🏛 Research Intern — IIT Indore

📚 Research Intern — IDEAS Foundation, ISI Kolkata

📧 Email: intjar.bstats@gmail.com

💼 LinkedIn:
https://www.linkedin.com/in/md-intjar-statistics

Exploring Statistics, Spatial Analytics, Remote Sensing and Machine Learning through Research.