Arman Ghanchi
@armanghanchi
AI/ML engineer building geospatial hazard models and predictive web apps.
What I'm looking for
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
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.
Data Analyst Intern
CMC Technology Services
Mar 2025 - Aug 2025 (5 months)
Supported campus computing by coordinating setup of computers, troubleshooting issues for students, faculty, and staff, and maintaining classroom equipment. Managed upkeep of 200 printers across campus.
Education
Degrees, certifications, and relevant coursework
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.
Shriji Vidhyalay
Class 12, Commerce
Grade: Percentage: 68.06%
Completed Class 12 (Commerce) at Shriji Vidhyalay in March 2023 under the Gujarat Board.
Krishna Vidhyalay
Class 10
Grade: Percentage: 73.16%
Completed Class 10 at Krishna Vidhyalay in March 2021 under the Gujarat Board.
Availability
Location
Authorized to work in
Job categories
Skills
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