M.Sc. Statistics
Department of Statistics & Operations Research
Aligarh Muslim University, Aligarh, India

Bayesian Statistics • Geo-Spatial Analytics • Remote Sensing • Time Series Analysis • Artificial Intelligence

🥇 University Gold Medalist   |   🏛 Research Intern @ IIT Indore & ISI Kolkata

I am MD INTJAR, a postgraduate student in Statistics at Aligarh Muslim University, with a strong interest in Bayesian Statistics, Geo-Spatial Analytics, Remote Sensing, Time Series Analysis, and Artificial Intelligence.

My research focuses on developing statistically rigorous and reproducible methods for understanding environmental and societal systems through the integration of statistical modelling, geospatial technologies, and machine learning.

My recent work includes NDVI-based vegetation dynamics modelling using satellite remote sensing, AI-powered career recommendation systems, and geospatial analytics for environmental applications. I enjoy transforming complex datasets into meaningful insights through statistical modelling, computational methods, and open-source research.

As an aspiring researcher, I aim to contribute to interdisciplinary research at the intersection of Statistics, Environmental Data Science, Artificial Intelligence, and Geo-Spatial Analytics, while promoting reproducible research and open science.

My long-term research goal is to advance the development of statistically rigorous and computationally efficient methods for understanding complex environmental and societal systems through Bayesian Statistics, Geo-Spatial Analytics, and Artificial Intelligence.

I am particularly interested in integrating Bayesian modelling, remote sensing, spatial statistics, and machine learning to address real-world challenges in environmental monitoring, ecological modelling, climate resilience, and sustainable resource management.

Through interdisciplinary collaboration and open-source research, I aspire to contribute reproducible methodologies, reliable statistical tools, and scientific software that support evidence-based decision-making across academia, government, and industry.

As I continue my academic journey, I aim to pursue doctoral research and contribute to the global scientific community through high-quality publications, collaborative research, and open science.

Master of Science (M.Sc.) in Statistics
2025 – Present

Currently pursuing postgraduate studies in Statistics with a research focus on Bayesian Statistics, Geo-Spatial Analytics, Remote Sensing, Time Series Analysis, and Artificial Intelligence.

Highlights

• Recipient of the Postgraduate Merit Scholarship (2025–26)
• Research in Bayesian Statistics and Environmental Data Science
• M.Sc. Dissertation on NDVI Vegetation Dynamics & Forecasting
• Research Intern at IIT Indore and IDEAS Foundation, ISI Kolkata

Bachelor of Arts (Honours) in Statistics
Patna College
2022 – 2025

Graduated with First Rank in Statistics, building a strong foundation in statistical theory, probability, inference, and applied data analysis.

Highlights

• 🥇 University Gold Medalist
• 🏆 First Rank in B.A. (Hons.) Statistics
• Bachelor's Research Project on Statistical Analysis of Virat Kohli's Centuries
• Strong foundation in Mathematical and Applied Statistics

Research Intern Department of Civil Engineering, IIT Indore May 2026 – Present (Remote)

Supervisor: Dr. Ashootosh Mandpe

Conducting interdisciplinary research on environmental applications of GIS, Remote Sensing, and Machine Learning for sustainable spatial planning and environmental monitoring.

• Developed geospatial workflows for environmental analysis.
• Performed land-use and land-cover (LULC) analysis using satellite imagery.
• Assessed landfill suitability and illegal dumping locations.
• Applied machine learning for spatial prediction and environmental intelligence.

Research Intern
May 2026 – Present (Hybrid)

Mentor: Sandip Bhattacharya

Contributed to the development of an AI-powered career guidance platform integrating Machine Learning, Generative AI, and Explainable AI for personalized career recommendations.

• Developed an XGBoost-based recommendation system
• Built AI-assisted skill-gap analysis and learning roadmap
• Integrated Generative AI using OpenRouter API
• Deployed the application using Streamlit

A research project focused on analysing and forecasting long-term vegetation dynamics using satellite-derived NDVI data and statistical time-series modelling.

• Processed MODIS NDVI data (2001–2025) using Google Earth Engine.
• Conducted trend, seasonal, and time-series analysis in R.
• Developed ARIMA and SARIMA forecasting models.
• Validated forecasting performance using observed NDVI data.

Repository
🔗 https://github.com/intjar-stats/ndvi-vegetation-dynamics-aligarh

An intelligent career recommendation platform integrating Machine Learning, Explainable AI, and Generative AI to deliver personalized career guidance and skill-gap analysis.

• Developed a multi-label XGBoost recommendation model.
• Implemented Explainable AI for transparent career recommendations.
• Integrated Generative AI to generate personalized learning roadmaps.
• Deployed an interactive web application using Streamlit.

Repository
🔗 https://github.com/intjar-stats/AI-Powered-Career-Guidance-System

Live Demo
🌐 https://ai-powered-career-guidance-system-blexmnd3bgujxy7b2u4uyl.streamlit.app/

An ongoing research project at IIT Indore exploring the integration of GIS, Remote Sensing, and Machine Learning for environmental monitoring and sustainable spatial planning.

• Conducting environmental spatial analysis using geospatial datasets.
• Analysing land-use and land-cover (LULC) dynamics.
• Investigating landfill suitability assessment.
• Applying machine learning for spatial prediction.

Status
🚧 Ongoing

An undergraduate research project applying statistical methods and interactive data visualization to analyse batting performance across different match conditions.

• Performed exploratory statistical analysis of batting performance.
• Evaluated performance trends across match formats.
• Developed an interactive Power BI dashboard.
• Presented statistical insights through effective visualizations.

Peer-reviewed publications, technical reports, manuscripts, and scholarly contributions.

Research publications will be added as manuscripts, conference papers, and journal articles become available.

Current Status

• Journal Articles: —
• Conference Papers: —
• Preprints: —

This section will be updated as future research outputs become publicly available.

I believe that scientific research should be transparent, reproducible, and openly accessible. My goal is to develop open-source research resources that contribute to the fields of Statistics, Geo-Spatial Analytics, Remote Sensing, and Artificial Intelligence, while supporting evidence-based decision-making for environmental and societal challenges.

I believe that rigorous statistical thinking, reproducible computational methods, and interdisciplinary collaboration are essential for addressing complex environmental and societal challenges. My research aims to bridge theory and practice by developing transparent, data-driven methodologies that contribute to both scientific understanding and real-world decision-making.

My research interests lie at the intersection of Statistics, Geo-Spatial Analytics, and Artificial Intelligence. I am particularly interested in Bayesian modelling, spatial statistics, remote sensing, and time-series analysis for studying environmental processes and supporting evidence-based decision-making.

My broader research goal is to develop statistically rigorous, computationally efficient, and reproducible methods that bridge statistical theory with real-world applications in environmental data science, geospatial intelligence, and machine learning.

Research Areas

• Bayesian Statistics
• Spatial Statistics
• Geo-Spatial Analytics
• Remote Sensing
• Environmental Data Science
• Time Series Analysis & Forecasting
• Machine Learning
• Explainable Artificial Intelligence (XAI)
• Statistical Computing

Selected academic achievements, scholarships, and recognitions received throughout my educational and research journey.

Patna University • 2025

Awarded the University Gold Medal for securing First Rank in the Bachelor of Arts (Honours) in Statistics.

Aligarh Muslim University • 2025–2026

Awarded the Postgraduate Merit Scholarship in recognition of outstanding academic performance.

Professional certifications and government-recognized qualifications supporting my expertise in statistics, computing, and data analytics.

National Institute of Electronics & Information Technology (NIELIT)
Government of India

A foundational certification covering computer applications, Python programming, web technologies, networking, and information technology.

National Institute of Electronics & Information Technology (NIELIT)
Government of India

Certified in fundamental computer concepts, digital literacy, office productivity tools, and internet applications.

A snapshot of my open-source contributions, research repositories, and development activity.

Thank you for visiting my GitHub profile. I welcome collaborations in Statistics, Data Science, Geospatial Analytics, Remote Sensing, and Artificial Intelligence.

© 2026 MD INTJAR
This profile and its original written content are copyrighted. Open-source repositories are released under their respective licenses (e.g., MIT License).