Data Scientist Machine Learning

Eric Burgos Senior Full Stack Data Scientist

linkedin.com/in/eric-burgos-42221a33a +1-351-***-**** **************@*****.*** PROFILE

Experienced Data Scientist with a strong background in machine learning, natural language processing (NLP), and large-scale data analytics. Skilled in building predictive models, crafting AI-driven solutions, and deploying data pipelines in cloud environments. Proficient in Python, R, and SQL, with expertise in frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as data engineering tools such as Apache Airflow and Azure Data Factory (ADF).

Adept at leveraging statistical analysis, deep learning, and NLP techniques to uncover insights and drive decision-making, delivering measurable business value. Hands-on experience with Azure Kubernetes Service

(AKS), AWS SageMaker, and Big Data platforms for developing and deploying scalable AI and data solutions. PROFESSIONAL EXPERIENCE

Pyramid Analytics,

Senior Data Scientist Machine Learning & AI Specialist November 2022 – August 2024

•Designed and implemented machine learning models using TensorFlow, Keras, and Scikit-learn, enhancing prediction accuracy by 25% and reducing data processing time by 30%.

•Led the integration of AI-driven automation into scalable microservices architectures using Python, Golang, and Kubernetes, improving response times by 30%.

•Developed and deployed large language models (LLMs) for chatbots, recommendation engines, and natural language workflows, driving efficiency in domain-specific tasks.

•Created and maintained robust RESTful APIs using FastAPI, Flask, and API Gateway, enabling seamless integration of AI models with enterprise systems and third-party applications.

•Leveraged AWS Lambda, SageMaker, Fargate, and Azure Kubernetes Service (AKS) to deploy machine learning models, achieving faster deployments by 40% while maintaining scalability.

•Delivered NLP solutions, including sentiment analysis, text summarization, named entity recognition, and Hugging Face Transformers, improving customer workflows and satisfaction metrics.

•Collaborated with cross-functional teams to identify use cases for AI, designing architectures and scalable solutions aligned with strategic objectives.

•Automated model deployment processes through CI/CD pipelines using Jenkins, GitHub Actions, and Terraform, ensuring rapid iteration and reduced downtime during updates.

•Conducted model optimization and retraining using MLOps pipelines, ensuring accuracy and adaptability to evolving data trends.

•Optimized cloud infrastructure for AI workloads with Apache Spark, reducing resource usage by 20% while ensuring high availability.

•Presented technical insights to stakeholders, simplifying complex concepts around Generative AI, SaaS architectures, and big data integration to align with strategic objectives. SoundHound AI, Data Scientist AI Solutions Engineer October 2020 – July 2022

•Led a cross-functional team of 5 engineers in the development and deployment of backend systems using .NET Core and C#, creating scalable microservices and APIs to support AI-based real-time applications.

•Designed and oversaw the implementation of AI pipelines for data preprocessing, feature engineering, and training, improving operational efficiency by 25%.

•Mentored junior developers and provided technical guidance on integrating NLP algorithms for text classification, sentiment analysis, and keyword extraction using spaCy, enhancing user interactions and automation.

•Delivered secure and scalable GraphQL and RESTful APIs to integrate machine learning models with web and mobile applications, ensuring alignment with business objectives.

•Spearheaded cloud optimization initiatives for AI systems using Azure Machine Learning and DynamoDB, achieving a 20% cost reduction while maintaining high performance.

•Directed the adoption of Apache Airflow for data pipeline orchestration and Azure Data Factory (ADF) for large-scale data integration, streamlining workflows across teams.

•Championed compliance with HIPAA and GDPR, leading efforts to implement secure practices that enhanced data security and trust in AI solutions.

•Evaluated and retrained AI models through version-controlled workflows, establishing standardized processes that ensured accuracy and adaptability in dynamic environments.

•Regularly collaborated with stakeholders to align technical deliverables with business goals, earning - recognition for effectively managing project timelines and deliverables. Bank of America,

Data Scientist Python & Data Analytics Specialist September 2019 – August 2020

•Built full-stack AI applications with Python, React.js, and Next.js, delivering robust solutions for predictive analytics.

•Designed predictive models using TensorFlow, Scikit-learn, and PyTorch, driving actionable insights for business decisions.

•Built scalable RESTful APIs and GraphQL endpoints for seamless data exchange between AI services and client applications.

•Developed responsive user interfaces using Tailwind CSS, Material-UI, and Bootstrap, improving UX across devices.

•Engineered data preprocessing pipelines with Pandas, NumPy, and SQL, ensuring high-quality datasets for AI models.

•Deployed applications on AWS Lambda, S3, EC2, and Kubernetes, achieving high availability and scalability.

•Improved application performance through lazy loading, caching, and Redis, reducing load times by 40%.

•Collaborated with teams to integrate AI solutions into existing SaaS architectures, delivering measurable business outcomes.

Amazon Web Services (AWS),

Machine Learning Engineer AI & Data Solutions

December 2017 – March 2019

•Developed and deployed machine learning models for predictive analytics and anomaly detection using TensorFlow, Keras, and PyTorch.

•Built scalable ETL pipelines for large datasets, leveraging AWS SageMaker, Glue, DynamoDB, and Azure Data Factory for streamlined operations.

•Designed AI workflows covering data ingestion, feature engineering, model training, and real-time deployment using Kubeflow.

•Delivered NLP solutions, such as chatbot systems, text summarization, and entity recognition, using frameworks like spaCy and Hugging Face Transformers.

•Collaborated with engineering teams to deploy AI systems into production, ensuring high availability and low latency.

•Regularly evaluated model performance, implementing retraining processes to adapt to changing data needs.

•Utilized AWS Lambda, S3, Fargate, and Azure Kubernetes Service (AKS) for cost-effective deployment of AI solutions across cloud environments.

•Partnered with stakeholders to define AI strategies for business-critical solutions, implementing secure API designs that adhered to GDPR standards.

LUMA AI Healthcare,

AI Solutions Architect Machine Learning & NLP Specialist September 2016 – August 2017

•Designed and integrated AI/ML solutions into enterprise systems, improving efficiency and driving measurable business value.

•Developed LLMs for domain-specific applications, such as chatbots and recommendation engines, enhancing user engagement by 30%.

•Spearheaded the development of AI pipelines using Apache Spark, Snowflake, and Azure Synapse, delivering seamless operations.

•Built and maintained scalable GraphQL APIs and RESTful services, enabling seamless AI integration with third- party systems.

•Conducted feasibility analyses and delivered pilot projects to evaluate the ROI of AI solutions in new business domains.

•Optimized cloud infrastructure using AWS, Azure (including AKS and ADF), and Google Cloud, reducing costs by 20% and ensuring scalability.

•Presented AI strategies and technical workshops to non-technical stakeholders, ensuring alignment with business goals and objectives.

CORE SKILLS

Programming Languages

Python, Java, JavaScript, TypeScript, .Net, C#, Rust, R Machine Learning and AI

NLP, Large Language Models (LLMs), Generative AI,

Data Wrangling, AI Pipelines, Model Deployment,

CNNs, RNNs, LSTMs

Cloud & DevOps

AWS (Lambda, SageMaker, Fargate, DynamoDB RDS),

Azure (Kubernetes Service, Data Factory), Docker,

Kubernetes, Kubeflow, CI/CD Pipelines

API Development

RESTful APIs, GraphQL, API Gateway, Federated APIs Testing

Cypress, Jest, Mocha, React Testing Library

Frameworks and Libraries

TensorFlow, PyTorch, Keras, spaCy, SymPy, SciPy,

Seaborn, scikit-learn, React.js, Next.js, Vue.js,

Typescript, Flask, FastAPI, Node.js, Django

Data Analytics and Storage

Snowflake, DynamoDB, SQL, Pandas, NumPy, Jupyter

Notebook, Spark

Frontend Development

Tailwind CSS, Bootstrap, Material-UI, Responsive Web Design

Tools and Platforms

Git, GitHub, Postman, Jenkins, Terraform, Cron Jobs Big Data & ETL

Apache Airflow, Data Pipelines, Cloud Data

Integration, Hadoop, Power BI, Tableau, Matplotlib, Seaborn

EDUCATION

Bachelor of Science in Computer science, Wilmington University 2012 – 2016

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