Daren Joan R. Profile

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$50 USD / hora

medellin,

colombia

$50 USD / hora

Aquí son las 10:22 p. m.

Se unió el febrero 21, 2015

0 Recomendaciones

Daren Joan R.

@darenrodriguez

5,0

(1 comentario)

1,5

100%

$50 USD / hora

medellin,

colombia

$50 USD / hora

100 %

Trabajos finalizados

100 %

Dentro del presupuesto

100 %

A tiempo

100 %

Tasa de recontratación

Master in Data Analytics Intelligence | Geology

I'm deeply curious about data science and artificial intelligence with a master`s degree in data analytics, professional certifications in data science and machine learning. Competencies: Analytics, Analysis capacity, Machine Learning, Data Science, Deep Learning, PySpark, Keras, Python, Jupyter Notebook, R, SQL, Streamlit, Qgis. Data table management, visualization and data analysis in Excel, Power BI and Tableau. In multidisciplinary teams, I possess the ability to work and contribute to the elaboration of reports, databases, fieldwork, and socializing projects, Applying emotional intelligence, guide and planned goal setting. If you catch me outside of work, I'm a reading loving, learning about the bottom of things. I enjoy playing football and walking through nature, practicing meditation, and talking about most things. I am sincere, irreverent, curious, creative, and able to create meaning. [login to view URL]

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Portafolio

From Multidimensional Poverty Index by block to average by urban neighborhood using free data from foursquare. A case Study in Medellín city, Colombia.

Multidimensional Poverty Index (MPI) looks beyond income to understand how people experience poverty in multiple and simultaneous ways. It identifies how people are being left behind across three key dimensions: health, education and standard of living, comprising 10 indicators. People who experience deprivation in at least one third of these weighted indicators fall into the category of multidimensional poor.

Could the closer venues from each neighborhood has a relationship with poverty and with this data is possible to do prediction like an approximation to Multidimensional Poverty Index?

From Multidimensional Poverty Index Analysis

Predictive model using neural networks to predict the accent

The objective of the predictive model is to make a prediction about whether a new contract will exceed 50% of the value in additions with respect to its initial value.

https://www.datascienceportfol.io/DarenJRC/projects/2

Prediction Additions in the Amount of Public Contracts

11664476

Analysis of geochemical sampling of surface soils

From Multidimensional Poverty Index Analysis

Predictive model using neural networks to predict the accent

Prediction Additions in the Amount of Public Contracts

11664476

Analysis of geochemical sampling of surface soils

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Jaimila B.

@buycarbodykits

•

hace 9 años

Experiencia

ARIS MINING

jul 2021 - Presente

Coordinated support of 2 warehouse and core yard of drilling cores at exploration and mining geology. Completed logging for over 20,000 meters of core samples within strict deadlines, contributing to the timely execution of resource assessment and development plans. Spearheaded the implementation of an automated sampling invoice check system, resulting in a substantial 70% reduction in manual verification tasks, saving the team 20 hours per week and improving operational efficiency.

MINESA-Proyecto Soto Norte

dic 2015 - abr 2021 (5 años, 4 meses)

Geological mapping and surface and underground geomechanical classifications with special emphasis on deposits of gold, copper, and silver. Conducted comprehensive analysis of 10,000 meters of core logging, identifying geological keys and facilitating accurate modeling. Designed 3 procedures of surface geological mapping, geological and geotechnical tunnel mapping and underground mining sampling. Prepared 5 geotechnical studies and reports for the preparation of the environmental impact study.

CDMB

may 2015 - oct 2015 (5 meses, 1 día)

10 Technical recommendations for the improvement and optimization of the exploration and exploitation gold mineralization. Created of geological, geomorphological and slope maps of the municipalities of California, Surata and Vetas. For a final deliverable of 9 maps. Orchestrated the design and implementation of three data collection formats, resulting in a 35% increase in data accuracy and a 20% decrease in data collection time, enabling faster decision-making.

Educación

Master of Data Analytics Intelligence

Universidad de Los Andes,

Colombia

2021 - 2023

(2 años)

GEOLOGIST

Universidad Industrial de Santander,

Colombia

2003 - 2011

(8 años)

Calificaciones

Coursera-IBM

2021

Learners started with an orientation of Data Science and its Methodology, became familiar and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models. In the process they completed several labs and assignments on the cloud including a Capstone Project at the end to apply and demonstrate their knowledge and skills.

Coursera-IBM

2023

This Professional Certificate from IBM provides evidence that the above named individual developed skills in Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning; including Time Series Analysis and Survival Analysis. This program consisted of 6 courses providing a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning.