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Carlos
HireCarlos

Carlos

Envigado, Colombia --:--:--

Carlos is a Computer Scientist and Computational biologist with a strong background in science, math, and statistics.  He has 5+ years of experience in data science and artificial intelligence applied to viral genomics, marketing, medicine, education, and banking. He has 2+ years of experience in bioinformatics applied artificial intelligence development and bioinformatics tools.  Carlos is interested in technological development, information understanding, entrepreneurial, science, and software initiatives. He is dedicated to providing artificial intelligence solutions to research and innovation teams to reach common goals.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
GCP
DevOps
EMR
AWS
Mathematics and Statistics
MySQL
SQL DB
Glue
Oracle
.NET
Hadoop
Snowflake
Scala
Unity
Python
MongoDB
Spark
C++
Java
.NET Core
Developer Personality

Independent

Collaborative

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

AI / Deep Learning

Viral genomics prediction

Data Modeling / Forecasting

Data Warehousing

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Biological Research

Telecom

Education

Food & Beverages

MODERATE
EXTENSIVE
EXPERT
Portfolio

Verizon

Data engineer

Work Experience : 2021-2022

• Analysis, organization, and integration of raw data sources.
• Built data systems, data models, and data pipelines.
• Worked with key client stakeholders to evaluate business needs and priorities.
• Data interpretation for trending, patterns, value creation
• Conducted complex data analysis and developed reports.
• Enhanced data quality, reliability, efficiency, and value.

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Universidad de los Andes

Research Assistant

Work Experience : 2019-2021

• Biological features classification, clustering, and dimensionality reduction on bacteriophage genomes datasets.
• Predicted biological relationships on metagenomic large volumes bacteriophages datasets from the construction of complex models based on graphs.
• Strengthened research capacities with the development of internal and inter-institutional projects.
• Teaching support in the academic activities arranged in the master’s courses.
• Development and innovation in scientific knowledge using machine learning models.

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Postobon S.A

Mathematical Analysis

Work Experience : 2018-2019

• Made predictive analysis using regression models (Multiple regression, Lasso and Ridge) from the company’s sales data.
• Development of Market Segmentation models of different target products of the company.
• Development of attribution models to better distribute the investment in the marketing area.
•Searched data patterns from huge internal business and social networks data sets using different data mining, and text mining techniques.
• Generation of tools that accompany the process of extraction, transformation, and data loading.
• Development of high-level business reports using Tableau to generate business value.

• Gave support in the administration of technological tools oriented to the creation of analytical capacities.
• Led and managed the new projects of the marketing analytics center from the creation of statistical and mathematical models and technical knowledge.

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Universidad EAFIT

Analysis research

Categories

Work Experience : 2017-2018

• Strengthened capacities to generate and accelerate innovation and education processes in the health sector in collaboration with SIM DESIGN and Digital Medic Stanford University.
• Designed and developed the software component to make a virtual medical training platform distributed and collaborative.
• Designed and developed the software component for the surgical and medical training platform and adapt it to the network and computer conditions of each of the users using artificial intelligence.
• Carried out a set of tests to evaluate the performance of the distributed and collaborative components of the virtual and medical training platform.

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Bancolombia

Internship

Work Experience : 2016-2017

• Elaboration of forecast models of balances of the commercial banking portfolio of companies and government based on time series.
• Automation of manual reports to reduce preparation time.
• Acquisition of financial, mathematical, and statistical experience.
• Acquisition of communication skills and teamwork.
• Contribution to the adoption of agile methodologies to improve communication.

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