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Nacho Eigu is listed as AI Engineer at Aureum, based in Tarragona, Catalonia, Spain. AeroLeads shows a matched LinkedIn profile for Nacho Eigu.
Nacho Eigu previously worked as Software Developer: Data Engineer at Hotelbeds and Software Developer: Data Analyst at Rappi. Nacho Eigu holds Master'S Degree, Digital Business Analytics And Big Data from Iebs.
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💡 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.
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As an AI Engineer, I specialize in developing and deploying AI agents with a focus on generative AI. My work spans the entire development lifecycle, from prompt design to deployment, ensuring each agent is finely tuned to deliver accurate, contextually relevant responses that align with client needs. Through carefully crafted prompts, I guide the AI's.
As a Data Engineer, I worked in different projects such as a Recommendation System for our clients based 100% on our data, working in the infrastructure (Back-end) of the Data Pipeline and developing models in DBT and Airflow.Tools: SQL, Tableau, Python, Jinja, DBT, Airflow, among others.
Worldwide
As Data Analyst, I developed different types of solutions for Data Problems: from the early stage of the Data Generation until the final product in the Data Visualization phase. Including Data Models for specific problems. Mix tasks between Data Scientist, Data Engineer and Data Analyst.Tools: Python, SQL, Git, Power BI, Snowflake, Docker, Airflow, among.
As Data Analyst, I extract, preparate, transform, clean and analyze data in order to, then, present the findings with an user friendly, interactive dashboard.Tools: Google Analytics, Google Tag Manager, Hotjar, Inspectlet, R Studio, Python, Excel, Google Data Studio, Google Sheets, Jira, among others.
My daily job, as Data Analyst, was analyzing social media data and finding trends about specific topics.Tools: Socialbakers, Flowics, TweetReach, Digimind, R Studio, Google Trends, Google Data Studio, Microsoft Powerpoint, Google Slides, Microsoft Excel, Google Sheets, Facebook & Twitter Business and Insights, etc.
In my internship, I worked in digital enviroments, analyzing audience data and social trends in order to generate content that engages the best with the website visitors.Diario Olé has more than 10M followers.
I learned how to create a methodology for data analysis and how to use tools to extract, clean, transform and visualize data in order to.
Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to.
I learned how data analysis processes works, understanding key analytical phases -such as data extraction, data cleaning, data analysis.
With the specialization, I am able to build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary.
Argentine University of Enterprise (UADE) Grade: 9/10 My thesis was designed and developed in the Social Data Analytics field and helps me.
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Nacho Eigu works for Aureum.
Nacho Eigu is listed as AI Engineer at Aureum.
Nacho Eigu is based in Tarragona, Catalonia, Spain while working with Aureum.
Nacho Eigu has worked for Aureum, Hotelbeds, Rappi, Think Thanks, and Argentina Network.
You can use AeroLeads to view verified contact signals for Nacho Eigu at Aureum, including work email, phone, and LinkedIn data when available.
Nacho Eigu holds Master'S Degree, Digital Business Analytics And Big Data from Iebs.
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