I am eager to continue my journey of learning and growth within the dynamic field of data science, and I am excited about the endless possibilities that it offers in driving innovation and creating positive change. If you're seeking a dedicated and driven data scientist who is committed to making a difference and constantly evolving, I would love to connect.Personal Projects: https://santmiro.github.io/SantMiro_Portfolio/-Generative AI Data Augmentation ToolDeveloped a GAN-based tool to generate synthetic credit card transaction data, addressing class imbalance in fraud detection datasets.This solution model achieved 95% accuracy in data generation.Containerized the application using Docker for seamless deployment and CI/CD workflows.-Bird Song Classification App Developed a web application for song bird classification using Flask.The user uploads an audio file and the model returns the predicted bird species.The model is a Convolutional Neural Network created with TensorFlow trained with a bird song dataset, achieving a 94% accuracy on the test set-Detection of AI Generated ImagesImplemented a Convolutional Neural Network using TensorFlow to detect AI-generated images, achieving 87% accuracy on the test set. Scraped data using Selenium.-International Space Station Distance CalculatorEngineered Flask app that calculates the distance of the International Space Station to the user.Established API cross connections of the ISS API and Google Maps API. App deployed in GCP.-Metabolomic Analysis in Pediatric Crohn’s Disease Patients: A Machine Learning ApproachUtilized machine learning algorithms to analyze serums, identifying clusters and developing classification algorithms to assess correlations between metabolites and disease activity.
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Software EngineerScotiabankWaterloo, On, Ca
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Machine Learning EngineerScriptchain Health Sep 2024 - PresentSan Francisco Bay Area•Led the design and implementation of a Retrieval-Augmented Generation (RAG) model to enhance document interpretation and response generation at scale.• Developed and deployed deep learning models, including LSTM and Transformer architectures, achieving a 15% improvement in prediction accuracy for faster decision-making.• Optimized pre-trained LLMs for complex text analysis and RAG response generation, incorporating natural language processing techniques for better keyword detection and enhanced response accuracy.• Leveraged AWS services (EC2, S3, Lambda) for scalable, reliable model deployment, ensuring 99.9% uptime and efficient handling of large datasets.• Implemented end-to-end MLOps CI/CD pipelines with Jenkins and Docker for seamless model integration and deployment, accelerating model update times by 30% and ensuring continuous adaptation to new data for optimal system performance. -
Data ScientistUniversity Of Alberta Sep 2021 - Jun 2024Edmonton, Alberta, Canada• Led the design and optimization of trigger software for the P-ONE detector, boosting detection capabilities by 25% and improving system precision.• Leveraged Python and SQL to streamline data processing workflows, reducing processing time by 40% and achieving a notable 90% efficiency rate.• Coordinated and communicated technical advancements to international stakeholders, resulting in a 30% increase in collaborative initiatives.• Harnessed machine learning and advanced statistical models to validate experimental data, achieving 95% accuracy in results.• Directed a data visualization project, reducing stakeholder decision-making time by 50% through effective transformation of complex datasets. -
Teaching AssistantUniversity Of Alberta Sep 2021 - Dec 2023Edmonton, Alberta, Canada-Guided undergraduate students through physics laboratories, catering to both engineers and science majors.-Effectively communicated complex concepts and facilitated learning experiences.-Conducted experimental procedures alongside students, reinforcing their understanding and developing strong problem-solving and analytical abilities.-Meticulously prepared lectures for each lab session, showcasing planning, organization, and attention to detail.
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Data EngineerHospital General De Mexico Jan 2020 - Aug 2020Mexico City, Mexico* Designed and implemented data models using SQL to analyze serum samples from diabetic patients, focusing on protein evolution across different substrates.* Led end-to-end data curation processes, utilizing Pandas and NumPy for data cleaning, preprocessing, and validation to ensure integrity and accuracy.* Optimized data pipelines with ETL frameworks and tools like Apache Airflow, improving performance and efficiency in handling large biological datasets.* Collaborated with cross-functional teams, leveraging tools like Tableau to present data-driven insights and translate complex results into actionable outcomes.* Developed and delivered comprehensive reports using Jupyter Notebooks and presented findings to non-technical medical teams, effectively bridging technical and clinical knowledge gaps. -
Laboratory Research AssistantUniversidad Iberoamericana, Ciudad De México Sep 2017 - Aug 2020Mexico City, Mexico• Conducted periodical calibration of the particle telescopes in the laboratory.• Managed and processed the data collection of the particle telescopes using statistical methods.• Three times selected to present my results to the National Congress of Physics in Mexico (2018,2019,2020). -
Research InternshipInaoe Jun 2018 - Aug 2018San Andrés Cholula, Puebla, MexicoSummer research internship at the National Institute of Astrophysics, Optics and Electronics, where I conducted a research where I estimated the density of particles in a region of space. I needed to review the theory behind the particles in space, and from that select a region in which I could perform the statistical analysis to determine the estimated results. The research was fully theoretical.
Santiago Miro Trejo Education Details
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Engineering Physics/Applied Physics
Frequently Asked Questions about Santiago Miro Trejo
What company does Santiago Miro Trejo work for?
Santiago Miro Trejo works for Scotiabank
What is Santiago Miro Trejo's role at the current company?
Santiago Miro Trejo's current role is Software Engineer.
What schools did Santiago Miro Trejo attend?
Santiago Miro Trejo attended University Of Alberta, Universidad Iberoamericana, Ciudad De México.
Who are Santiago Miro Trejo's colleagues?
Santiago Miro Trejo's colleagues are Chris Blanchet, Rebeca Santiago, Hugo Fernando Koga Bossio, Adel Al-Samar, Randall Jollie, Raúl Barria Vial, Omar Ortiz.
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