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Arman GhanchiAG
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Arman Ghanchi

@armanghanchi

AI/ML engineer building geospatial hazard models and predictive web apps.

India
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What I'm looking for

I want to apply AI/ML to real-world risk prediction and geospatial analytics, collaborating with teams to deliver interpretable models and user-friendly dashboards, with growth opportunities to move projects toward production.

I’m an AI/ML engineer focused on end-to-end model development for real-world risk prediction, especially in geospatial hazard analysis. In my AI/ML Intern role at BISAG-N, I worked on “Geo-AI Automated Prediction Engine for Risk Assessment of Earthquake and Volcano,” including PSHA using the OpenQuake Engine and integration of active fault datasets.

I build practical ML solutions with strong interpretability and usability in mind. I developed Python-based geospatial + ML workflows for hazard analysis, feature engineering, and interactive visualization dashboards, and created Geo-AI hazard prediction modules using Logistic Regression, Random Forest, SVM, and XGBoost. I also built a full-stack React web app for loan eligibility prediction, integrating the Anthropic Claude API for dynamic insights and recommendations.

Experience

Work history, roles, and key accomplishments

BI

AI/ML Intern

BISAG-N

Dec 2025 - May 2026 (5 months)

Built a Geo-AI automated prediction engine for earthquake and volcanic risk assessment by running Probabilistic Seismic Hazard Analysis (PSHA) in OpenQuake and generating hazard maps for multiple return periods. Processed seismic catalogs and developed ML-based hazard prediction modules using Logistic Regression, Random Forest, SVM, and XGBoost with Python geospatial workflows and dashboards.

Education

Degrees, certifications, and relevant coursework

MU

Monark University

Bachelor of Computer Application, Computer Applications

2023 - 2026

Grade: GPA: 6.75 / 10

Bachelor of Computer Application (BCA) program at Monark University (2023–2026). GPA reported as 6.75/10.

SV

Shriji Vidhyalay

Class 12, Commerce

Grade: Percentage: 68.06%

Completed Class 12 (Commerce) at Shriji Vidhyalay in March 2023 under the Gujarat Board.

KV

Krishna Vidhyalay

Class 10

Grade: Percentage: 73.16%

Completed Class 10 at Krishna Vidhyalay in March 2021 under the Gujarat Board.

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