Nicolás Goyena

I am a passionate and skilled Data Scientist currently finishing a Master’s degree in Spatial Data Science and Geographic Information Technologies. I specialize in Advanced Machine Learning and Time Series Forecasting, Business Intelligence & Reporting, Location Analytics and Geographic Technologies, with the aim to address data-driven business problems. I have a proven track record in developing predictive models, optimizing operational processes, and implementing data-driven solutions.

I am seeking to apply my skills in a dynamic environment

Business Analytics & IT Intern at Nippon Gases

• Machine Learning Implementation: Application of machine learning algorithms to address business challenges and improve operational processes in the company. Specifically, I developed predictive models to forecast demand for different Gases, enabling the company to optimize inventory management and production planning. • Optimization of Gas Plant Locations: Implementation of Data Analysis techniques to identify optimal locations for new gas plants based on factors such as proximity to gas sources, market demand, and infrastructure availability. Utilized geographic information systems (GIS) tools and spatial analysis methods to assess potential sites and recommend strategic locations, resulting in improved operational efficiency and cost savings for the company. • Business Analytics and Reporting: I Developed and maintained regular reporting mechanisms to track key performance indicators (KPIs) design dashboards, and automate reporting processes using tools such as Power BI, Tableau, or Excel.

 Development of a ML-Ops Platform based on Azure Cloud Services at Cognizant

Collaboration between Universidad Carlos III de Madrid and Cognizant for designing and implementing a ML Ops platform, with the ability to cover the complete lifecycle of a Machine Learning system: from the design of the model to its implementation in production.

• Master's degree in Spatial Data Science and Geographic Information Technologies at Universidad de Girona 
• Bachelor's Degree in Data Science and Engineering / Universidad Carlos III de Madrid 
• Bachelor Thesis: Prediction of NO2 Levels in Madrid using Deep Learning techniques (9.7/10)