Tomas Rodriguez Hermosilla
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Tomas Rodriguez Hermosilla Email & Phone Number

Head of Data Science at Mineral Forecast
Location: Santiago, Santiago Metropolitan Region, Chile 8 work roles 3 schools
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Current company
Role
Head of Data Science
Location
Santiago, Santiago Metropolitan Region, Chile
Company size

Who is Tomas Rodriguez Hermosilla? Overview

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Quick answer

Tomas Rodriguez Hermosilla is listed as Head of Data Science at Mineral Forecast, a with 21 employees, based in Santiago, Santiago Metropolitan Region, Chile. AeroLeads shows a matched LinkedIn profile for Tomas Rodriguez Hermosilla.

Tomas Rodriguez Hermosilla previously worked as Data Scientist at Mineral Forecast and Data Scientist - Master's Thesis at Spanish Statistical Office. Tomas Rodriguez Hermosilla holds Máster, Big Data Science from Universidad De Navarra.

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Email format at Mineral Forecast

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Mineral Forecast

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About Tomas Rodriguez Hermosilla

You'll be able to know more about me in the following link:https://tomasrodriguezh.github.io/Portfolio/

Current workplace

Tomas Rodriguez Hermosilla's current company

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Mineral Forecast
Mineral Forecast
Head of Data Science
Santiago, CL
Employees
21
AeroLeads page
8 roles

Tomas Rodriguez Hermosilla work experience

A career timeline built from the work history available for this profile.

Data Scientist

Current

Santiago, Chile

Sole data scientist at a startup specializing in Machine Learning-based targeting services for Mineral Exploration. Using Geological, Geophysical and Geochemical data to predict ore grades and assess prospectivity of properties.I led the area that focuses on the generation of predictions of mineral ore content on several client projects, with deposits of different metals such as iron, copper, silver and gold. I contributed in a novel interpretation of geoscientific data, generating new exploration targets and prioritizing client properties.I collaborated closely with geologists to improve the interpretation of geoscience data. This involved correcting and optimizing data usage, leading to improvements in study analyses and the generation of more accurate predictions. Additionally, I refined the process of drawing conclusions from algorithms by implementing new methods for model validation in geospatial problems. Furthermore, I supported the enhancement of storytelling techniques when presenting results to clients, thereby instilling greater confidence in the delivered product.I developed a user-friendly machine learning model that not only achieved problem generalization but also enabled the team's geologists, who lacked prior Machine Learning knowledge, to independently make predictions. This significantly boosted efficiency and empowered the team.I conducted extensive research to identify innovative solutions to customer challenges, constantly presenting new ideas to the team for product development and improvement, working with different areas within the company.I played a key role in increasing product precision and accuracy. Additionally, I proposed the implementation of new features to add value to the product, in order to increase customer interest, satisfaction and stickiness.

Jan 2023 - Present

Data Scientist - Master'S Thesis

Madrid, Spain

Utilicé diferentes métodos de Machine Learning para predecir los ingresos de las personas y la tasa de pobreza relativa en España. Busqué identificar cuál era el mejor algoritmo para este objetivo.Limpieza de datos, análisis, feature selection y técnicas de modelado fueron usadas para interpretar los puntos claves de los datos recolectados.

Jan 2022 - Sep 2022

Analista De Datos

Madrid, Comunidad De Madrid, España

Hice análisis de datos y visualizaciones para las áreas de B2C y de Marketing de la empresa. Generé insights de los clientes y del negocio con el fin de hacer decisiones basadas en los datos.Asistí en la implementación de algoritmos de predicción del comportamiento de clientes.Hice web scraping para ganar conocimiento de los agentes comerciales.

Dec 2021 - Mar 2022

Practicante

Santiago, Región Metropolitana De Santiago, Chile

Hice reportes económicos y análisis de datos en temas relacionados con una investigación del sistema de salud chileno.Trabajo en el mandato presidencial de "Eficiencia en pabellones y priorización de pacientes para cirugía electiva"

Dec 2018 - Feb 2019
3 education records

Tomas Rodriguez Hermosilla education

FAQ

Frequently asked questions about Tomas Rodriguez Hermosilla

Quick answers generated from the profile data available on this page.

What company does Tomas Rodriguez Hermosilla work for?

Tomas Rodriguez Hermosilla works for Mineral Forecast.

What is Tomas Rodriguez Hermosilla's role at Mineral Forecast?

Tomas Rodriguez Hermosilla is listed as Head of Data Science at Mineral Forecast.

Where is Tomas Rodriguez Hermosilla based?

Tomas Rodriguez Hermosilla is based in Santiago, Santiago Metropolitan Region, Chile while working with Mineral Forecast.

What companies has Tomas Rodriguez Hermosilla worked for?

Tomas Rodriguez Hermosilla has worked for Mineral Forecast, Spanish Statistical Office, Thepower Business School, Facultad De Economía Y Administración Uc, and Comisión Nacional De Productividad.

How can I contact Tomas Rodriguez Hermosilla?

You can use AeroLeads to view verified contact signals for Tomas Rodriguez Hermosilla at Mineral Forecast, including work email, phone, and LinkedIn data when available.

What schools did Tomas Rodriguez Hermosilla attend?

Tomas Rodriguez Hermosilla holds Máster, Big Data Science from Universidad De Navarra.

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