Responsibilities & achievements

Build Pipelines in Azure Data Factory to ingest on premise DBs, use Databricks to transform data and put it in delta tables and let use it for visualization team. Create Automate Report in PDF that alert about the tables status.

Responsibilities & achievements

Working in different data projects on multi cloud like AWS, GCP and Azure Developing OCR tools to extract text from pdf files using computer vision Implementing MBA solutions to improve the sales in retail sector Implementing Deep Learning like a forecast tool to develop forecast product.

Responsibilities & achievements

Implement machine learning models in retail sector that allow correct decisionmaking (marketing strategies, product promotion, among others) (Market Basket Analysis). Implement visual analytics (Power BI) solutions that allow identifying improvement opportunities obtained through machine learning models (bestselling, least-selling products) for an important chain of mini-markets in the USA. Develop ETL/ELT for the creation of a data lake for a publishing company that receives different sources of financial information from different sources, transforms them to unify them and then for them to be exploited by Power BI development teams. Develop solutions to migrate data from on premise data warehouse to Azure Synapse analytics using data pipelines and python scripts. Setup framework to migrate data between DEV/TEST/PROD environments.

Responsibilities & achievements

built a model that allows us to know the impact that the crisis generated by COVID 19 has had on the bank's business clients. Identify the characteristics of prospect bank customers that are profitable. Built a model that allows the companies to predict if a client will be on overdue or not, and the different overdue stages (1,2,3 months).

Responsibilities & achievements

Designed and planned the sampling strategic to collect data in tourism sector, into collect that he had the responsibility to coordinate the collector data team and the data analytics team. He designed and deployed business intelligence solution using Tableau and develop machine learning models techniques using web scraping data collected via Twitter. – He planned all the collection and analysis and information activities for the SITUR Valle del Cauca . - I designed the information collection methodology that allows characterizing tourism in the Valley (Receptive, Internal and Offer Tourism -Tourism and employment). - He coordinated the field work team, made up of 7 interviewers. - He designed the databases of the SITUR Valle del Cauca. - He designed the data collection methodology for the pilot characterization of sports tourism in the city of Cali. He designed the analytics or business intelligence module for the www.siturvalle.com platform. through Tableau. Implement models and other statistical analysis techniques such as social network analysis or sentiment analysis to know the opinion of tourists about the department of Valle del Cauca and their probability of return to it.