Daniel Cañadas Email & Phone Number

- 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.

• 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.

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.

• 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.

Master'S Degree In Information Systems With A Mention In Data Science

Data Scientist

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

Ingeniero Mecánico Automotriz, Mechanical Engineering, 8,3/10