Sanket G.

Projects

Sentinel-2 Crop Classification using Machine Learning
- Developed a machine learning pipeline for crop classification using multispectral Sentinel-2 satellite imagery.
- Processed and engineered spectral features from remote sensing data for land-cover analysis.
- Trained and evaluated a LightGBM classification model for accurate crop type prediction.
- Applied geospatial data preprocessing and reproducible analytical workflows using Python.
- Demonstrates practical applications of remote sensing, machine learning, and geospatial analytics for precision agriculture.
Tools: Python, LightGBM, Sentinel-2, GeoPandas, Rasterio, Scikit-learn
Key Work: Built an end-to-end geospatial machine learning pipeline including data preprocessing, feature engineering, model training, and land-cover prediction for agricultural monitoring.
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Automated Fisheries Data Extraction & Validation (Dakshin Foundation, Karnataka)
Developed automated data mining workflows to collect fisheries market information from government portals across Karnataka.
Tools: Python, Selenium, BeautifulSoup, Pandas, PostgreSQL
Key Work: Automated web scraping, data extraction, quality validation, deduplication, and transformation of large-scale fisheries datasets for research and evidence-based policy analysis.

Agro-Insight: Maharashtra Cropping Dynamics & Spatial Econometrics Dashboard
Agro-Insight is an open-source geospatial analytics platform developed to analyzestructural changes in cropping patterns, agricultural intensification, and market accessibility across Maharashtra between 2017 and 2025. The project integrates satellite-derived land-use observations with physical yield statistics from the UPAG portal to validate remote sensing outputs against empirical agricultural production data.
Key Contributions:

• Developed district and taluka-level Cropping Intensity analyticsusing multi-temporal satellite classification outputs.
• Built spatial econometric workflows to calculate Euclidean distance relationships between agricultural hotspots and APMC market centroids, enabling assessment of market accessibility and logistical constraints.
• Designed analytical visualizations to identify market-led agricultural intensification trends, distance-decay effects, and regional accessibility disparities.
• Implemented land-use transition analytics through interactive Sankey diagrams to monitor agricultural land conversion from low-intensity cultivation to double and triple-cropping systems.

Tools: Python, Streamlit, Git, GitHub, VS Code
Open Source Support & Mentorship: This project was developed as part of the FOSS ecosystem with funding support from FOSS United. Technical mentorship and project guidance were provided by CoRE Stack, enabling the application of open-source geospatial technologies, spatial analytics, and data-driven agricultural research methodologies.
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Agricultural Market & Spatial Analysis (Nashik District)
Analyzed relationship between cropping patterns and market price dynamics using spatial and econometric methods.
Tools: R, Python, QGIS
Key Work: Integrated satellite imagery with econometric models to study land-use changes and price incentives; built interactive dashboard as a part of Core stack geospatial chllenge.
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SanketPhoneticTranslator (R Package)
Developed and published an R package for transliteration between Hindi and English datasets.
Tools: R
Key Work: Enabled efficient preprocessing of multilingual datasets for data analysis workflows.
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Behavioral Economics Experiments (oTree, Python)
Designed and deployed experimental games for behavioral research.
Tools: Python, oTree, Cloud deployment
Key Work: Built Prisoner’s Dilemma and Ultimatum Game experiments and hosted them for real-time data collection.

Proximity Analysis System (Pune)
Developed a location-based system to identify nearest service points.
Tools: Python, Spatial Algorithms
Key Work: Applied geospatial logic to improve accessibility and response efficiency.

Field & NGO Data Analysis Projects
Worked on primary data collection and education analytics across rural and NGO settings.
Tools: R, Python, Excel
Key Work: Designed surveys, analyzed literacy and numeracy data, and generated insights for development initiatives.

Healthcare Data Analysis Projects
Applied statistical analysis on clinical and imaging datasets.
Tools: SPSS, Python
Key Work: Studied disease patterns and diagnostic metrics using real patient data across multiple research projects.

Karnataka Agricultural Commodities Data
Tools: Python, VS code
Key work:Fetched agricultural commodities data at Karnataka state level using Python. Built automated pipeline to collect data baased on agricultural comodities and price.

India trade analysis
Built to learn PostgreSQL and data pipeline development
Tools: PostgreSQL, VS code
Key work: A complete data pipeline analyzing India's trade patterns (2018-2024) using PostgreSQL and Python. Downloaded data from UNCTAD, World Bank, and DGFT India, cleaned it with Python, loaded into PostgreSQL, ran SQL queries for insights, and visualized results.
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Writing & Blog

I write about economics, data analysis, and policy insights, focusing on real-world applications and data-driven thinking.

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Publications

Multidimensional Deprivation Index and Spatial Clustering
Published in Economic and Political Weekly, 2024
Overview: Developed a village-level multidimensional deprivation index using large-scale datasets and spatial econometric techniques to analyze regional inequality across Indian states.
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Rural Multidimensional Deprivation in Chhattisgarh
Azim Premji University, 2024
Overview: Constructed a decomposable rural deprivation index using Mission Antyodaya data to identify key drivers of poverty across districts and blocks.
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Rural Multidimensional Deprivation in Jharkhand
Azim Premji University, 2025
Overview: Extended multidimensional poverty analysis to Jharkhand, enabling granular insights for policy targeting and regional development planning.

Ireland's Productivity Paradox: Extreme Decoupling in the Real Estate Sector
International Journal for Research in Applied Science & Engineering, 2025
Overview: Analyzed productivity–wage decoupling using OECD sectoral data and structural break methods across major economies.
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Feasibility of Turmeric Cultivation in Vertical Farms
International Journal for Research in Applied Science & Engineering, 2025
Overview: Evaluated economic viability of vertical farming using cost structures, yield comparisons, and market positioning analysis.
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Impact of New vs Old Tax Regime on Individual Assessees
The Academic: International Journal of Multidisciplinary Research, 2025
Overview: Studied behavioral and financial impacts of alternative tax regimes on individual taxpayers.
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Recent Experience

Research Associate
Azim Premji University (2023 – 2026)
Conducted large-scale data analysis, statistical and spatial econometric modelling, and policy research. Automated data processing workflows, coordinated primary survey data collection, and developed evidence-based insights to support research and policy decisions.