Andree Vela Email & Phone Number
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Andree Vela is listed as Machine Learning Engineer at Picnic Technologies, a with 4843 employees, based in Netherlands. AeroLeads shows a matched LinkedIn profile for Andree Vela.
Andree Vela previously worked as AI Engineer at Demcon and Data Scientist at Jheronimus Academy Of Data Science. Andree Vela holds Engineering Doctorate In Data Science, Mathematics And Computer Science from Eindhoven University Of Technology.
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About Andree Vela
Data Scientist with more than 7 years of experience in Data Science and Software Development. I have authored +5 papers in Machine Leaning and I am on the process of getting my first patent granted. Currently, I am designing a Recommender System for patients with non-communicable diseases, but I also have worked in innovation, education, and health care sectors. My particular interest is analyzing, from an ethics perspective, the impact of AI on our society. Let’s collaborate!
Listed skills include Android Development, Web Development, Java, Oracle Sql, and 1 others.
Andree Vela's current company
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Andree Vela work experience
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Ai Engineer
Current• Design of a Recommender System (RS) for patients with Osteoarthritis (OA) and Diabetes.International project in collaboration with other 6 countries for helping to solve the problem of managing non-communicable diseases. My approach involved performing an analysis of the State of the Art, discovering and structuring the multiple data sources available, designing a PoT to test a sensor device and create a sample dataset, and organizing and focus groups with patients and physiotherapists to obtain user requirements.
Data Scientist
CurrentIn this two year post-master degree program I worked on projects for several different companies covering topics in data science such as statistics, data engineering, visualization, modelling, data mining. Furthermore, the program offered thorough training in soft skills such as teamwork, effective feedback, presentation skills, story telling, among others.
Data Scientist
• Design of a Multi-market Trading Strategy for Optimizing a Battery Storage.Analyzed the operational characteristics of the Day-ahead, Balancing, and aFRR markets to create a profit plan for next-day prediction. In the evaluation phase potential profits on tens of thousands of euros were obtained. This project involved using ML, Time-series analysis, and optimization models (Pyomo).• Forecasting energy price anomalies for the Balancing Market (BAL).collected and combined weather data with operational data from the Day-a-head and BAL market to predict positive and negative peaks in the energy price for the BAL market. The project involved engineering +30 temporal features and implementing a peak detection algorithm to label the data. Several temporal models were tested, obtaining the best results with a VARMAX
Data Scientist
• Automation of an adverse media screening process on high profile clients.Analyzed the business process to abstract steps that can be automated. NLP techniques were used to deal with automatic information gathering, data preprocessing, and entities recognition. A ranking score was designed to obtain the most critical hits. Finally, a containerized application was built using Flask, which was deployed on AWS.• AI explainability for Credit Risk Modeling.Analyzed and compared global and local explainability models such as Tree-SHAP, Asymmetric SHAP Values, LIME, Anchors, Individual Conditional Expectation (ICE), and Counterfactuals (DiCE), to enhance models’ transparency and decision-making processes. The project also involved designing a customized dashboard for displaying model explanations according to different techniques.
Data Scientist
• Customer segmentation and Demographic Change Analysis.Analyzed the population of Eindhoven to identify trends and patterns that could influence DVU’s strategic planning. The project involved using NLP for the extraction of useful information form free-form text and data anonymization. Three customer segments were identified and modeled over time using government population demographic data.• Improving customers experience through optimization of services location.Designed two strategies to predict the impact on service relocation between stores: (1) using customer satisfaction data and distance to store as a proxy to satisfaction. (2) Using phone calls appointments data to learn customers preferred location.
Data Scientist
Rappi is one of the fastest growing LATAM startups reaching nine countries in only six years. As part of the Journey Estimation Times team I was responsible for developing and maintaining different models used by the core business. My main responsibilities included:• Performing EDAs to diagnose anomalies in operational metrics related to the models supported by the team• Performing A/B testing to test hypotheses/configurations for the different operational zones.• Performing feature-engineering to improve models' performance• Building pipelines using Airflow to automate data gathering, model training, and metrics generation.• Supporting product teams giving them feedback and insights based on evidence found in the operational metrics.
Digital Learning And Innovation Leader
As an innovation leader, I developed proofs of concept-technology as solutions proposals to problems our students suffered when using the university’s digital services. I worked closely with a UX team to understand our users’ pains and goals. My main activities included: • Continue development of Proofs of Concept and Proofs of Technology using cloud technologies (AWS). - Prototype of campus access with Face Recognition - Prototype of real-time transportation shuttle tracking• Monitor the national startup landscape and fomenting collaboration agreements with startups.• Develop the methodology to build our intern technological radar.• Operate the innovation process to ensure a continue flow of ideas to prototypes.
Frontend Developer
As part of the Frontend Team, I worked on several projects: administrative, financial, education-related, and emergency first response. Also, I had the opportunity to propose process improvements and participate in innovation projects. Some of my activities and achievements were:• Implementation of requirements of several projects for distinct departments of the university (AngularJS, HTML,CSS, etc).• Development of a DAO library for AngularJS to access SharePoint services by REST.• Leading the development of a drag and drop application that allows the students to design their study program. • Leading a (personal) initiative for developing an internal carpooling app
Java Fullstack Developer
Mainly, I participated in two projects: implementing a digital invoice certification provider (PAC) and developing new functionalities for the Domains Registry (for .mx TLD). During my stance at NIC México, I performed the following activities:• Renewing the charts and plots displayed on the distinct websites of the company.• Implementation of requirements (PAC and Registry) on the desktop (Swing) and web (JSF) applications (Java).• Developing of REST and SOAP APIs for digital invoicing.• Developing of Unit Tests for the critical functionalities of the products.
Colleagues at Picnic Technologies
Other employees you can reach at picnic.app. View company contacts for 4843 employees →
Jean-Luc Franken
Colleague at Picnic TechnologiesSchwalmtal, North Rhine-Westphalia, Germany
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Maliana Hoatau
Colleague at Picnic TechnologiesParis, Île-De-France, France
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Niklas Oliver Krümmel
Colleague at Picnic TechnologiesEssen, North Rhine-Westphalia, Germany
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Gabriella Van Werd
Colleague at Picnic TechnologiesSpijkenisse, South Holland, Netherlands
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Joshua Tolhuis
Colleague at Picnic TechnologiesLeeuwarden, Friesland, Netherlands
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Raylo Steinbach
Colleague at Picnic TechnologiesDeurne, North Brabant, Netherlands
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Tom Verhoeff
Colleague at Picnic TechnologiesMaarssen, Utrecht, Netherlands
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Renée Aantjes
Colleague at Picnic TechnologiesBussum, North Holland, Netherlands
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Koen Van Der Linden
Colleague at Picnic TechnologiesRhenen, Utrecht, Netherlands
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Claire Stam
Colleague at Picnic TechnologiesParis, Île-De-France, France
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Andree Vela education
Engineering Doctorate In Data Science, Mathematics And Computer Science
Master Of Science - Ms, Computer Science
Licenciado En Ingeniería De Software, Web/Multimedia Management And Webmaster
Frequently asked questions about Andree Vela
Quick answers generated from the profile data available on this page.
What company does Andree Vela work for?
Andree Vela works for Picnic Technologies.
What is Andree Vela's role at Picnic Technologies?
Andree Vela is listed as Machine Learning Engineer at Picnic Technologies.
Where is Andree Vela based?
Andree Vela is based in Netherlands while working with Picnic Technologies.
What companies has Andree Vela worked for?
Andree Vela has worked for Picnic Technologies, Demcon, Jheronimus Academy Of Data Science, Essent, and Dll.
Who are Andree Vela's colleagues at Picnic Technologies?
Andree Vela's colleagues at Picnic Technologies include Jean-Luc Franken, Maliana Hoatau, Niklas Oliver Krümmel, Gabriella Van Werd, and Joshua Tolhuis.
How can I contact Andree Vela?
You can use AeroLeads to view verified contact signals for Andree Vela at Picnic Technologies, including work email, phone, and LinkedIn data when available.
What schools did Andree Vela attend?
Andree Vela holds Engineering Doctorate In Data Science, Mathematics And Computer Science from Eindhoven University Of Technology.
What skills is Andree Vela known for?
Andree Vela is listed with skills including Android Development, Web Development, Java, Oracle Sql, and Angular Js.
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