
Computational Geophysicist | Lecturer @ AI for Earth Systems
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water4all
Data Scientist
June 27, 2026 – Present
padrnet
June 11, 2026 – Present
Physics-Informed Reservoir Learning for Shallow-Water Flood Modelling
View Projectbase-attentive
April 10, 2026 – Present
Modular Multi-Backend Encoder-Decoder Architecture for Probabilistic Time Series Forecasting
View Projectfusionlab-learn
April 13, 2025 – Present
fusionlab-learn: Igniting Next-Gen Temporal Fusion Architectures
View Projectk-diagram
April 9, 2025 – Present
k-diagram: Rethinking Forecasting Uncertainty via Polar-based Visualization
View Projecthydro-learn
September 20, 2023 – November 25, 2023
An intelligent package for solving hydrogeology engineering issues
View Projectkalfeat
September 15, 2022 – September 23, 2022
A package for fast detecting the geo-electrical features
View ProjectCultural Fit Analysis
The candidate's projects are highly focused on scientific computing and machine learning, which aligns with a Data Scientist role. However, the projects are all personal, and there is only one current work experience listed with no details on skills or responsibilities, making it difficult to assess team collaboration or broader industry experience. The diversity of project domains (geophysics, hydrogeology, time series forecasting) indicates a broad interest within data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.