I am a Data Scientist and a Big Data enthusiast with a Computer Science background. My work experience allowed me to work in several challenging Machine Learning problems. I was responsible for developing a Document Classification system, where I was able to obtain 70% of accuracy on a multi-label classification problem using Random Forest. Worked on a Object detection module for Automated Document Parsing (PDFs) using state of the art Deep Learning techniques. Also, have experience working with Graphs to solve problems like Costumer Churn and Client Segmentation. During the development of some of my projects I was also responsible for managing necessary stakeholders. The love for new technologies and challenges is what motivates me and I am always interested in learning new things.
• Responsible for mentoring one team member in a data science project. • Responsible for creating new business value proposals and presenting them. • Development of data science solutions such as Anomaly Detection in Set up Boxes. • Technologies: Python, Apache Spark, Pyspark, AWS(S3,EMR), GitLab, Zeppelin, Python Bokeh.
• Responsible for create contents and teaching hands-on classes on Big Data Algorithms. • Lectures can be found here. • Technologies: Apache Spark, Python, Hadoop.
• Parser library to convert PDF,Image,HTML files into Data Objects. • Research state of the art methodologies to parse documents. Choosing approaches based on research. • Deep Learning using Faster R-CNN, SSD, YOLO networks for Object detection and localization. • Technologies: Java, Python, Deep Learning, Image Processing, Tensorflow, Keras.
• Development of new functionalities in a document platform, which classify documents using machine learning techniques NLP.
• Developed a traceability system with Outsytems Platform. • Technologies: Outsystems, .Net, Javascript, CSS, HTML5.
• Developing Billing API’s to integrate with Mobile Operators. • Developing webapps that run on Tomcat, tested using with JUnit. • Log analysis. • Technologies: Java, Shell Scripting, REST, SOAP, SVN, JUnit.
• Log Analysis/ Requests analysis. • Ongoing maintenance. • Technologies: Java, Shell Scripting, SOAP, JUnit, TFS
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Apart from being a Data Scientist and Full Stack Developer, I enjoy most of my time in Beekeeping, I have a small farm where I have some beehive. I enjoy traveling, have visited almost ten countries.
As hobbies I used to train Krav maga and boxing. and I spend a large amount of my free time exploring the technology related with data science world.