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Sharfa Rahman

@sharfarahman

Geospatial Analyst with hands-on internship experience in geospatial and business analytics — using AI to leverage real-world problems.

India

Message

What I'm looking for

I'm looking to apply geospatial, SQL, Python, and statistical analysis skills to build reproducible data products, predictive models, dashboards, and decision support for environmental, urban, supply-chain, or business challenges.

I've validated analytical models and built Python and SQL data-validation workflows at ClarityX, using EDA, gap analysis, geospatial analysis, and statistical analysis to support business decisions and operational planning.

Through projects in forest-fire susceptibility, urban change detection, AQI prediction, canopy-height estimation, and facility location optimization, I've turned satellite, LiDAR, and spatial datasets into reproducible pipelines, interactive maps, and predictive insights. My work includes a forest-fire model with 75–80% prediction accuracy and creating automated geospatial pipelines for accuracy and reduction of manual effort.

Experience

Work history, roles, and key accomplishments

Data Analyst (Intern)

ClarityX

Jan 2026 - Jun 2026 (5 months)

Validated proprietary analytical models using external datasets by automating Python and SQL-based data validation workflows. Conducted EDA and gap analysis to support business decisions and developed technical reports for stakeholders.

Python SQL Data Validation EDA Statistical Analysis Geospatial analysis Technical Documentation

Geospatial Analyst (Intern)

Regional Meteorological Centre

Jun 2025 - Aug 2025 (2 months)

Performed geospatial analysis of forest fire factors using GIS-based weighted modeling. Built susceptibility models with predictive analysis and validation, achieving 75-80% prediction accuracy.

GIS predictive modeling AHP DEMATEL Technical Documentation