💡 Making life easier for people and organizations with Artificial Intelligence, Data Science, Data Analytics & Data Engineering is my passion. How? 👉Turning raw data into actionable strategies & insights that boost data driven decisions. 👉 Automating repetitive human tasks with custom AI software based on LLMs, Machine Learning & Deep Learning. 📧 Ready to explore how we can drive data-driven & automation success together? Reach out to me: 👉 ignacio.eiguren@gmail.com 👈 Top Tech Stack: Python, SQL, Snowflake, Docker, Git, Airflow, Kafka, DBT, OpenAI API, AWS, Tableau, Looker, Power BI... 🚀 My profile merges top skills from Data Analyst, Data Engineer, Data Scientist & AI Engineer, with core knowledge in Software Engineering, in order to bring a complete understanding of the entire data ecosystem. ~ Data Engineering: Building robust data pipelines, ETL processes, and data warehousing solutions using Python, SQL, Docker, Airflow, and DBT. Ensuring data is clean, reliable, and accessible for analysis. ~ Data Analysis: Leveraging advanced analytical techniques and tools like Tableau, Looker, and Power BI to create insightful visualizations and dashboards. Proficient in statistical analysis, A/B testing, and predictive modelling to support data-driven decision-making. ~ AI and Machine Learning: Developing machine learning/deep learning models using TensorFlow, PyTorch, and Scikit-learn. Experience with GenAI apps, Chatbots & AI software, using Langchain, Prompt Engineering, OpenAI, Vector Databases like Pinecone. Primarily focused on academic projects, prototypes, and personal projects. ~ Cloud Computing: Utilizing AWS for scalable data storage and automation. Skilled in using cloud services to build, deploy, and manage applications efficiently. ~ Workflow Automation: With my coding background and AI application understanding, I 'm focus on make processes as efficient as possible, saving time and money for companies and teams. 🌍 I am passionate about continuous learning and staying updated with the latest trends in data science and AI. In summary, Software Engineer, focus on Data and AI. 💼 Along my career, I have collaborated with cross-functional teams to deliver impactful data solutions. My approach is holistic, considering every aspect of the data lifecycle to ensure effective results. I believe in the power of data to transform businesses and drive innovation.