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Passionate about the intersection of Web, GIS, and weather. Excited to explore the wonders of the atmosphere through data and visualization. Building innovative
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Meteo.Tech
Data Scientist
June 27, 2026 – Present
agrotoolkit
April 28, 2025 – May 4, 2025
Agrotoolkit AI es una recopilación estratégica y curada de herramientas, guías, agentes inteligentes y recursos educativos orientados a facilitar la adopción de inteligencia artificial en el sector agrícola.
View Projectpython-curso-gis
September 26, 2024 – September 26, 2024
python-curso-gis — GitHub repository
View ProjectML_LR_rainfall_MGGT
May 15, 2022 – May 18, 2022
Machine Learning logistic regression prediction short term rainfall prediction
View Projectlive_project_ml_rainfall
April 24, 2022 – April 25, 2022
live_project_ml_rainfall — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a focus on data science and AI applications, particularly in agriculture and meteorology, which aligns with a Data Scientist role. However, the project descriptions are brief, and the diversity of technologies beyond Python and Jupyter Notebook is limited. The future start date for the current role makes it difficult to assess real-world impact or collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.