English:
Upper Intermediate
Deyber V.
Vetted by YouTeam
Colombia
UTC -05:00
America/Bogota
English:
Upper Intermediate
I am a Machine Learning Engineer with more than 8 years of professional experience in fields like software development and artificial intelligence
- I started from scratch, finding out the idea to improve, talking to different areas of the company and doing an initial test of the implementation, meeting with the CEO, and finally implement Machine learning for the fintech company for collections revenue. - Started from a company publishing this specific challenge to improve the process, my team was selected and we worked on the Receipt analysis by AI to avoid human error to have more accuracy in the balances reflected at the end of the fiscal year.
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Check if Deyber is availableExpertise
Years of commercial development experience
9 years of experience
Core technologies
Other technologies
Project Highlights
Fintech project focused on default prediction
Jan `20 - Oct `20
9 months
Credit Fintech Company
Default prediction model using machine learning for a fintech company to identify people that are going to have problems with their payments. The segment was microcredits.
Responsibilities & achievements
Responsible for modeling, talking to clients, presenting model results to businesspeople, making exploratory data analysis. Technologies used: Python, Pandas, Sklearn.
Information extraction from Invoices
Jun `19 - Dec `19
6 months
Retail Company
Machine learning solution to help to reduce the operative work of transcribing scanned invoices for an administrative area, and therefore avoiding human errors, improving speed in digitalization which helps reduce costs.
Responsibilities & achievements
Responsible for building a computer vision solution to identify and extract key information from scanned invoices. Also responsible for the labeling process. Technologies used: Python, TensorFlow, Object detection.
Occupational health safety and wellness
Jan `18 - Mar `18
2 months
Insurance Company
Human activity recognition, a project to identify the kind of physical activity a person performs during the day. Activities like walking, jogging, going upstairs, downstairs were measured with data generated from wearables.
Responsibilities & achievements
In charge of translating data from sensors, applying some filters, and developing a model to predict the kind of activity a user is doing. Technologies Used: Python, Sklearn, Bluetooth.
Facial recognition project
Jun `17 - Dec `17
6 months
Internal software company solution
A facial recognition solution to allow access to offices only to employees using people's smartphones.
Responsibilities & achievements
In charge of the development and deployment of the solution.
System to manage Authentication/Authorization Mechanism
Jan `14 - Jun `16
2 years
Insurance Company
The solution to managing the authentication and authorization of users and applications in an efficient way. There were about 300 applications with their users and the goal was to avoid bottlenecks in the authentication and authorization and to avoid dependency on a database.
Responsibilities & achievements
In charge of the implementation of the architecture defined.
Education
Higher education in Computer Science
Agency
100-400
GMT-6
El Salvador
Core Expertise
Industries
Architecture & Design, Education & Science, Business & Productivity, E-Commerce & Retail, Banking & Finance, Construction & Real estate, Advertising & Marketing, Fashion & Style, Healthcare & Medicine, Data Science & Machine Learning, Big Data, Entertainment, Branding, design, web development
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