Manaswi Kulahara

Data Scientist

https://talent.gravityer.com/manaswi-kulahara

Master’s in Geo-Informatics | Specializing in Remote Sensing, GIS, Earth Observation, UHI, Fire Risk, Crop Mapping, and Disaster Resilience 🌍🛰️

Indian Institute of Remote Sensing

Key Strengths

Demonstrated interest in Data Science and Geospatial analysis through multiple personal projects.
Experience with Python and Jupyter Notebook in project contexts.
Accepted paper at IGARSS 2025 indicates research capability and domain expertise in disaster classification using LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on environmental and geospatial data science, which aligns well with roles requiring domain-specific data analysis. The diversity of projects, including academic publications, suggests a proactive and research-oriented individual. However, the lack of diverse industry experience or team-based projects makes it difficult to fully assess cultural fit beyond individual initiative.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

vision-hydrology-spatialnet

March 13, 2026 – Present

vision-hydrology-spatialnet — GitHub repository

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Python-Learning-Journey

October 2, 2025 – October 2, 2025

Python-Learning-Journey — GitHub repository

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Geospatial-Flood-Risk-Analysis

September 15, 2025 – September 15, 2025

Geospatial-Flood-Risk-Analysis — GitHub repository

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manaswikulahara.github.io

September 14, 2025 – Present

manaswikulahara.github.io — GitHub repository

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Strategic-Retail-Analysis-Delhi

September 14, 2025 – September 14, 2025

Strategic-Retail-Analysis-Delhi — GitHub repository

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Disaster-Net_LLM

July 15, 2025 – July 15, 2025

Can We Predict the Unpredictable? Leveraging DisasterNet-LLM for Multimodal Disaster Classification---Accepted at the 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025)

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FLLL3M

July 12, 2025 – July 19, 2025

FLLL3M - Federated Learning with Large Language Models for Mobility Modeling

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Delhi-LST-UHI-Analysis

June 11, 2025 – June 11, 2025

Scripts for analyzing LST and UHI using Landsat 8 in Google Earth Engine for Delhi (2022–2024)

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TawaBasin-HEC-RAS-2D

April 12, 2025 – April 12, 2025

Flood modeling using HEC-RAS 2D for the Tawa Basin, India

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HEC-HMS-Hydrological-Modeling

March 1, 2025 – March 31, 2025

HEC-HMS-Hydrological-Modeling — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Geospatial analysis through multiple personal projects.
Experience with Python and Jupyter Notebook in project contexts.
Accepted paper at IGARSS 2025 indicates research capability and domain expertise in disaster classification using LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Manaswi Kulahara

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit