Daniel Fernando Barrera Armendaris

Data Scientist & ML Engineer @Inchcape Digital

Tutor✔️ IT🧑‍🔬 Engineer🧮 EducationComputer engineerML EngineerData ScientistData Analyst

Expertise 📊 As a systems engineer with a focus on data science and artificial intelligence, I've had the opportunity to work with large volumes of data to provide solutions in processing, inference, predictions, visualization, and analysis that contribute to business decision-making. Technologies 💻 My experience includes using Python and its libraries for data science and AI practice. Additionally, I utilize pipeline knowledge to design, program, and maintain all stages of data, from source to client. Internationality 🌍 Moreover, I'm fluent in multiple languages, including English (B2), German (C1), French (B2), and Spanish (native), enabling effective communication in diverse workplace settings. I've collaborated with international teams, providing me with extensive experience in multicultural teamwork. Mindset 🚀 I'm fully open to a diversity of ideas and perspectives, enriching the work process and fostering innovation. I'm passionate about data science and generating ideas that help organizations harness the full potential of data.

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Work Background

Inchcape DigitalData Scientist

Aug. 2023Colombia · RemoteResponsibilities - Development of code for strategic products like price prediction, time to sell of products and estimated prices of devaluation; contributing to the achievement of company objectives. - Maintenance and interpretation of code in existing products to ensure their effectiveness and relevance to achieve scalability and a faster development. - Continuous updating of product code, adapting it to changing market and company needs. - Design and implementation of strategies for clean code development, improving product efficiency and quality in all the products. Main Technologies Python, Azure Databricks, Azure Devops, Azure Functions, Azure DataFactory, Azure Datalake, Datarobot (ML as a service)

Anyone AIMachine Learning Engineer

Dec. 2023Colombia · RemoteResponsibilities: - Research, design, and code machine learning algorithms and deep learning systems to solve problems like hospitalization prediction in elderly population and image recognition of cars. - Monitor and maintain machine learning models in production, ensuring optimal performance and accuracy taking in consideration the specifications of the customer. - Implement data pipelines for training and evaluating machine learning models to assume good practices during the development. Main Technologies: Python, Matplotlib, Seaborn, Scikitlearn, Keras, NLTK

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