I’m a Machine Learning Engineer, Data Scientist, and Data Analyst passionate about data-driven solutions, AI automation, and large-scale analytics. My expertise spans:
✔ Data Engineering & ETL: Designing automated data pipelines, optimizing data workflows, and managing big data processing.
✔ Machine Learning & AI: Developing CNN models, deep learning architectures, and predictive analytics with Keras, TensorFlow, and Scikit-learn.
✔ MLOps & Cloud Deployment: Automating model training, deployment, and monitoring using Docker, MLflow, FastAPI, and CI/CD pipelines.
✔ Data Analysis & Business Intelligence: Extracting insights with SQL, Python, Tableau, and data visualization.
✔ Linux & Bash Scripting: Automating workflows and managing cloud infrastructure with Linux commands and Bash scripting.
I am constantly learning, experimenting, and collaborating on open-source projects to push my skills further.
🔹 Developed an end-to-end deep learning OCR system with CNN models, automated data pipelines, and deployment.
🔹 Integrated DVC, MLflow, FastAPI, and Docker to streamline model lifecycle management.
🔹 Built a real-time monitoring system with Prometheus & Grafana for system observability.
🔗 [GitHub Repository](#)
🔹 Analyzed multi-source data (incidents, demographics, traffic, weather) to predict emergency response times.
🔹 Applied regression and classification models to optimize resource allocation.
🔹 Designed interactive visual reports to support strategic decision-making.
🔹 Processed 34M+ transactions to extract insights on customer behavior and sales trends.
🔹 Performed customer segmentation & forecasting to improve inventory strategies.
🔹 Delivered actionable insights through Python-based analytics.
💻 Python (Pandas, NumPy, Scikit-learn, TensorFlow, Keras, FastAPI) | SQL (PostgreSQL, MySQL) | Bash & Linux Scripting
📊 Data Processing: ETL Pipelines, Data Cleaning, Feature Engineering, API Integrations
🤖 Deep Learning, CNNs, Predictive Modeling, NLP, Computer Vision, Time-Series Analysis
🚀 Docker, MLflow, DVC, FastAPI, CI/CD Pipelines (GitHub Actions), Cloud Monitoring (Prometheus & Grafana)
📈 Tableau, Matplotlib, Seaborn
I’m always exploring new technologies and methodologies to improve my work in data science, machine learning, and AI automation.
Some of my current areas of focus:
✅ Scaling ML systems in production (distributed computing, cloud optimization)
✅ Advanced MLOps practices (orchestration, model versioning, A/B testing)
✅ Generative AI & Large Language Models (LLMs)
📧 Email: eduardosanchezdata@gmail.com
💼 LinkedIn: Eduardo Sanchez Duran
📊 Tableau Public: (https://public.tableau.com/app/profile/eduardo.sanchez.duran/vizzes)
📂 Portfolio & Blog: (https://github.com/edsanzd/edsanzd/blob/5d2e18ddf1df8bcf4866a0cee3e0ff6b513f815c/Portfolio.Eduardo_Sanchezduran.pdf)