Daniel Cañadas
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Daniel Cañadas Email & Phone Number

Machine Learning | Data Science at Scale AI
Location: Quito, Pichincha, Ecuador 4 work roles 3 schools
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Current company
Role
Machine Learning | Data Science
Location
Quito, Pichincha, Ecuador
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Who is Daniel Cañadas? Overview

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Quick answer

Daniel Cañadas is listed as Machine Learning | Data Science at Scale AI, a company with 302 employees, based in Quito, Pichincha, Ecuador. AeroLeads shows a matched LinkedIn profile for Daniel Cañadas.

Daniel Cañadas previously worked as Computer Science Expert AI Training at Scale Ai and Machine Learning Engineer at Anyone Ai. Daniel Cañadas holds Master'S Degree In Information Systems With A Mention In Data Science from Universidad Hemisferios.

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Scale AI

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Profile bio

About Daniel Cañadas

Experienced Machine Learning Engineer. Highly enthusiastic about Artificial Intelligence and Machine Learning, and adept at analyzing data and developing models in Python, utilizing tools such as Pandas, Numpy, Scikit-learn, AWS, Tensorflow, and Pytorch. Continuously exploring new tools and techniques to stay up-to-date in the field, and passionate about tackling new challenges and learning. Seeking a role in a company where I can leverage my analytical thinking and expertise to achieve goals and drive success.

Current workplace

Daniel Cañadas's current company

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Scale AI
Scale Ai
Machine Learning | Data Science
san francisco, california, united states
Website
Employees
302
AeroLeads page
4 roles

Daniel Cañadas work experience

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Computer Science Expert Ai Training

Current

- Optimized AI Model Performance: I skillfully implemented advanced techniques to rank and fine-tune code responses generated by AI models. This ensured the delivery of high-quality and contextually relevant results to our clients.- Strategic Prompt Design: My expertise lies in crafting well-structured and effective prompts. These prompts guide AI models.

Jan 2024 - Present

Machine Learning Engineer

  • Anyone AI, invest in people, preparing them for the jobs of the future, and helps to solve the existing talent shortage inthe field of AI.
  • Conducted sentiment analysis on product reviews for a movie streaming service, achieving successfuldetection of positive and negative opinions through pre-processing and vectorizing text data.
  • Achieved 82% accuracy in fine-grained image classification for the vehicle make and model predictionfrom unstructured e-commerce images, using convolutional neural networks.
  • Predicted a person's ability to repay their debt in home credit risk analysis by achieving +0.72 ROC AUCusing supervised models such as DecisionTree, XGBoost, and LightGBM.
  • Developed a salary prediction model for sports players that decreased the mean absolute error rate by50%, ultimately selecting a decision tree regressor as the final model.
  • Deployed the image classification model in AWS instances using Docker and an API-based web-serviceapplication, ensuring efficient and reliable functionality.Main technologies: Python, Numpy, Pandas, Scikit-learn.
Sep 2022 - Dec 2023

Data Science Teacher

Argentina

  • A company dedicated to Immersive boot camps in Web Development and Data Science
  • Assisted students in resolving exercises for the Le Wagon Bootcamp, providing guidance and supportthroughout the process.
  • Supported students with their final project, ensuring they met the minimum requirements anddelivered their projects successfully.
  • Received positive feedback from students, who found the help provided to be clear, useful, and polite,as reflected in their resumes.
  • Worked with an average of fifteen to twenty-five students per boot camp, ensuring personalizedattention and support.Main Technologies: Python, Pandas, Numpy, Scikit-learn, matplotlib, and Seaborn.
Apr 2021 - Jan 2022

Mechanical Engineer At Ceus Workshops

Ceus Talleres
  • Industrial establishments in which operations are conducted for the restitution of the normal conditions of the stateof operation of the vehicle or its equipment and components.
  • Managed customer service, engaging with clients to determine their needs and requirements for theirvehicles. Created worksheets detailing the jobs to be done, as well as any comments or policies neededfor the work to.
  • Supervised the work on all incoming vehicles, ensuring that all tasks were completed correctly andproviding guidance to employees as needed.
  • Facilitated the delivery of all vehicles to customers, explaining all completed work and answering anyquestions they may have had.
  • Instructed and guided employees on specific tasks, ensuring that all tasks were completed to thehighest possible standard.
Jul 2017 - Dec 2017
Team & coworkers

Colleagues at Scale AI

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3 education records

Daniel Cañadas education

Data Scientist

Coding bootcamp of Data Science with Python: Data Analytics with SQL, BigQuery, Pandas, Numpy, and Matplotlib; Statistics with Scipy.

FAQ

Frequently asked questions about Daniel Cañadas

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What company does Daniel Cañadas work for?

Daniel Cañadas works for Scale AI.

What is Daniel Cañadas's role at Scale AI?

Daniel Cañadas is listed as Machine Learning | Data Science at Scale AI.

Where is Daniel Cañadas based?

Daniel Cañadas is based in Quito, Pichincha, Ecuador while working with Scale AI.

What companies has Daniel Cañadas worked for?

Daniel Cañadas has worked for Scale Ai, Anyone Ai, Le Wagon, and Ceus Talleres.

Who are Daniel Cañadas's colleagues at Scale AI?

Daniel Cañadas's colleagues at Scale AI include Emmanuel Romero 🏳️‍🌈, Roderic Casuco, James Wilkinson, Gaspar Giménez, and Ian Graham.

How can I contact Daniel Cañadas?

You can use AeroLeads to view verified contact signals for Daniel Cañadas at Scale AI, including work email, phone, and LinkedIn data when available.

What schools did Daniel Cañadas attend?

Daniel Cañadas holds Master'S Degree In Information Systems With A Mention In Data Science from Universidad Hemisferios.

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