Álvaro Ramírez Cardona Email & Phone Number

Colombia

Used MLOps to design, develop, and deploy statistical, machine learning, and artificial intelligence models, focusing on financial risk management, customer relations, natural language processing, prompt engineering, and object detection. Applied DevOps and data engineering to optimize ETL and streaming processes. Executed projects on the Azure cloud, leveraging big data and artificial intelligence technologies.

Used data analysis techniques and numerical models to perform meteorological studies in 10 cities in Colombia, with the objective of identifying relevant patterns and processes in the local atmospheric circulation.

Designed and developed the freely available Python package ATRACKCS, which uses image processing techniques to automatically detect and track cumulus clouds from satellite data.

Supported the development of predictive and prescriptive analytics products for the Mining-Energy sector. Collaborated in the design of evaluation metrics, performing data mining and creating dashboards.

Medellin, Colombia

Characterized the study area using satellite imagery and environmental data, and developed the statistical model using spatial analysis techniques for the project "Joining technical efforts ... to monitor and evaluate, downstream of the dam site, the Ituango Hydroelectric Project..."

Medellín

Supported the configuration, validation and operation of the Weather Research and Forecasting (WRF) model as part of the project to implement a weather forecasting system for the city of Santiago de Cali.

Medellín, Colombia

Coordinated and executed environmental studies on air, water and noise quality. In addition, conducted technical studies on environmental modeling using GIS tools and numerical simulation models. Achieved accreditation of the air quality matrix of the environmental laboratory according to current regulations.

Colombia

Evaluated alternatives and environmental impacts of energy distribution networks using GIS methods, such as spatial analysis, mapping, and data management. This allowed for informed decision-making and sustainable infrastructure development.

Medellin, Antioquia

Used machine learning techniques and statistical models to develop algorithms for forecasting air pollution episodes, with a focus on the Aburra's Valley.

Magíster, Ingeniería Recursos Hidráulicos

Tesis: La atmósfera nocturna en un área urbana tropical de terreno complejo. Caso de estudio: el Valle de Aburrá (Colombia).

Ingenieria Ambiental

Activities and Societies: Tesis: Calculo de la altura de la capa de mezcla nocturna a partir del número de Richardson para la ciudad de.