Dr. Erick Elejalde

Angestellt, Researcher Data Scientist, Forschungszentrum L3S
Hamburg, Deutschland

Fähigkeiten und Kenntnisse

Data Science
Computer Science
Data Analysis
Artificial intelligence
Machine Learning
Natural Language Processing (NLP)
Social research
Complexity
Research
Research and Development
Deep Learning
Algorithm Analysis
Parallel programming model
Concurrent Data Structures
Consulting
Project Management
Python
C#
C
SQL
Object Oriented Programming
Object Oriented Design (OOD)
Git
Information technology
Database
C++
PHP
JavaScript
Java
OOP
OOD
Jupyter
Algorithm Design
Parallel Algorithm Design
Concurrent Data Structure Design
Panda
teaching
scikit-learn
NLP
Presentation skills
Analytical skills
International experience
Organizational skills
ML
Neural Networks
Large language models
Microsoft Excel
KPI
Data Quality
Management
Data Management
Data Transformation
Technology
Data base
Systems
Automation
Data Preparation
CSS
Software Development
Statistics
Applied Mathematics
Prototyping
Team leadership
Analytics
Data Modelling
Lead Management
Scripting
Validation
Solution Design
GitLab
Mathematics
RDBMS

Werdegang

Berufserfahrung von Erick Elejalde

  • Bis heute 6 Jahre und 10 Monate, seit Apr. 2019

    Researcher Data Scientist

    Forschungszentrum L3S

    - Led and contributed to multiple large-scale, data-intensive projects (EU H2020), from problem formulation to deployed analytical pipelines - Designed and implemented ML and NLP solutions for risk assessment, public opinion analysis, and early-warning systems - Translated complex analytical results into actionable insights for technical and non-technical stakeholders - Managed international, multidisciplinary teams; coordinated deliverables, milestones, and reporting -Supervised MSc and PhD researchers

  • 5 Jahre und 1 Monat, März 2013 - März 2018

    Research Assistant

    Universidad de Concepción

    - Applied machine learning and network analysis to model systemic interactions and emergent behavior, integrating multiple data sources to improve system performance - Designed, implemented, and optimized data pipelines and predictive models, translating complex data into actionable insights - Participated in international collaborations and co-authored several peer-reviewed publications on data-driven modeling and machine learning

  • 7 Jahre und 11 Monate, Feb. 2008 - Dez. 2015

    IT Consultant Software Development

    The Brainers

    - Design and development of data-driven software tools and dashboards for healthcare and business management applications (e.g., PRODEL, ACDI/VOCA). - Built analytical dashboards for CARE.ORG, enhancing traceability of patient data and monitoring healthcare outcomes.

  • 2 Jahre und 11 Monate, März 2012 - Jan. 2015

    Lecturer

    Universidad de Concepción

    - Introduction to Software Engineering – (Fall 2012) - Systems Analysis and Design – (Fall 2012) - Computer Systems – (Spring 2012, Spring 2013)

  • 1 Jahr und 6 Monate, März 2013 - Aug. 2014

    Lecturer

    Universidad del Bio Bio

    - Operating Systems – (Spring 2013) - Design and Analysis of Algorithms – (Fall 2013, Spring 2014)

  • 2 Jahre und 8 Monate, Jan. 2010 - Aug. 2012

    IT Consultant Software Development

    USAID, PRODEL, ACDI/VOCA

    4Plus. Innovative tool in business management to support the preparation of Business Plans, Strategic Analysis and Financial Planning. (VS.NET 2008 using packages to manipulate MS‐Office 2010 files).

  • 7 Monate, März 2010 - Sep. 2010

    Lecturer

    Universidad Ecotec

    • Web Applications Development – (Spring 2010)

  • 11 Monate, März 2009 - Jan. 2010

    IT Consultant Software Development

    CARE

    SisTB. Ministry of Public Health of Ecuador (Project Manager and Senior Developer). Medical record web system for TB patients implemented nationally. (VS.NET 2008 using ASP.NET with C#, MSSQL Server 2005).

  • 1 Jahr und 5 Monate, Sep. 2006 - Jan. 2008

    Professor

    Universidad de La Habana

    • Operating Systems – (Fall 2006) • Design and Analysis of Algorithms – (Fall 2007)

Ausbildung von Erick Elejalde

  • 2017 - 2017

    University of Torino

    Internship, Data Science

  • 2016 - 2017

    Leibniz University, L3S Research Center

    Internship, Data Science

  • 5 Jahre und 1 Monat, März 2013 - März 2018

    Computer Science

    Universidad de Concepción

    Data Science, Computational Social Science, Machine Learning, Social Networks.

  • 2 Jahre und 11 Monate, März 2011 - Jan. 2014

    Computer Science

    Universidad de Concepción

    Parallel Algorithms and Concurrent Data-Structures, String Matching, Wavelet Trees

  • 4 Jahre und 10 Monate, Sep. 2001 - Juni 2006

    Computer Science

    Universidad de La Habana

    Computational Geometry, Relational Geometry

Sprachen

  • Spanisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Gut

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