Kevin Morgado Email and Phone Number
Passionate data scientist with experience in the financial and energy sectors, specializing in predictive models and data optimization.In the financial sector, I validate Machine Learning models and perform Fraud analysis using Python, Spark, and Big Data tools to assess the performance of current prevention and diagnostic measures.Previously, I worked as a researcher in the energy sector, where I developed a Python-based optimization code for Electric Power dispatch, leveraging data from consumption meters to extract value.I completed a master's degree during the pandemic while transitioning to the field of data science, complementing my education with +20 specialized courses and participation in 2 programming and data analysis hackathons.Known for my dedication to projects I commit to and for delivering on time, as well as for my innovative approach to solving complex problems using diverse sources and technologies.Always open to collaborations and opportunities in challenging data science projects.Technical skills: Python | SQL | Google Suite | Trello | Machine Learning | AI | PySpark | AWSLanguages: English C1 | French B1+
Bbva
View- Website:
- bbva.com.co
- Employees:
- 2575
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Data Scientist - Financial Crime PreventionBbva Jun 2024 - Present- Developed queries in Amazon Athena to identify fraud patterns in digital transactions, assessing the effectiveness of prevention rules.- Implemented visualizations in Amazon QuickSight to present consolidated fraud detection data, facilitating decision-making for monitoring teams.- Optimized database processing using Python, pandas, and Spark for creating visualizations in Looker Studio, reducing processing time by 50%.- Developed 3 KPIs to monitor the effectiveness of fraud prevention and monitoring strategies.
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Data Professional - Data Quality Team - RiskBbva Jan 2024 - Jun 2024Bogotá, Colombia- Optimized data quality processes using Google Docs and PySpark, achieving a 60% improvement in risk analysis efficiency.- Developed an information quality tracking and control system, consolidating data from multiple sources and building 3 indicators for the status of quality rules.- Performed risk model monitoring using SAS and Python, analyzing indicators such as GINI, KS, and delinquent customers, which contributed to the development of action plans to improve their performance.
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Trainee - Data Scientist - Big Data & Advanced AnalyticsBbva Jan 2023 - Jan 2024Bogotá. Colombia- Validated predictive models based on Logistic Regression and Machine Learning, using Python and PySpark in accordance with internal regulatory compliance.- Identified and proposed 4 improvement points in the implementation of Machine Learning models, aligning them with business requirements.Created a visualization in MicroStrategy and Python summarizing key risk indicators, automating monthly execution and reducing report preparation time.
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Researcher Project P9Energética 2030 Jul 2021 - Dec 2022- Developed an optimization model based on Unit Commitment in Python from the Pyomo library, to analyze the effect of integration of renewable resources and reserves in different types of power systems.- Analyzed the performance of the Unit Commitment model from Python and Excel, based on the review of trends, null data, execution times, compliance with security constraints, and similarity to the energy dispatch of the Colombian system, with information stored in databases of more than 1 million rows.- Wrote scientific articles and reports based on the analysis of the information obtained from the optimization model, network topology effects, and future applications in the electric sector. -
Postgraduate Student AssistantNational University Of Colombia Oct 2020 - Jun 2021Bogotá, D.C.- Developed an application of Excel and VBA that simplifies the calculation of the Public Lighting operation costs of a grid operator, represented by the reduction of execution time to 1 minute and the ease of being used by several users.- Evaluated the state of the art of Public Lighting applications in the framework of Smart Cities in a final report, where the boom of technologies associated with remote monitoring, use of sensors, and coupling with the electrical system was evidenced.- Organized the database associated with the type of luminaires by a grid operator from Microsoft Access and SQL, identifying missing data, problems in queries, and access to information. -
Independent ProfessionalRgs Consultores Mar 2020 - Jun 2020Bogotá, Colombia- Conducted studies of electric arc and protection coordination using ETAP, in which the challenges associated with the knowledge of the electrical network and the characteristics of the protections were overcome.- Complemented the studies of the connection of solar plants to the Colombian system through Digsilent, updating the parameters of these plants and developing an analysis of the effects of harmonics in the grid. -
Electrical EngineerRgs Consultores Sep 2019 - Mar 2020Bogotá, Colombia- Developed the study of the Energy component of the Environmental Management Office of the Universidad Nacional de Colombia Bogotá, which included the analysis of the energy consumption of each of the buildings and performance indicators considering smart metering. The findings were consolidated in a final report. - Analyzed in the Water Component of the Environmental Management Office the status of the remote measurement of water resource consumption at the Bogotá Campus by visiting each of the installed meters. As part of this, a report was made with the main results of the consumption analysis and availability of information.- Participated in field trips and technical visits to different buildings of the Bogotá Campus, to identify preventive and corrective activities associated with the use of electric energy.
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Student AssistantNational University Of Colombia Aug 2017 - Oct 2018Bogotá, Colombia- Developed reports analyzing the implementation of electric vehicles and smart metering in the Colombian case in a joint project with the UPME using Office tools. We were able to identify the country's potential in this area and the challenges associated with regulation.- Implemented performance indicators of energy consumption in the University Campus, using C# and Pi System, based on the total power consumed, number of users connected to the Internet, and students in the classrooms. The main finding was the direct relationship between energy consumption and the other variables.
Kevin Morgado Education Details
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Industrial Automation
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Gpa Of 4.1/5
Frequently Asked Questions about Kevin Morgado
What company does Kevin Morgado work for?
Kevin Morgado works for Bbva
What is Kevin Morgado's role at the current company?
Kevin Morgado's current role is Data Scientist | DS4A | Python | Pyspark | SQL | Git.
What schools did Kevin Morgado attend?
Kevin Morgado attended Data Science For All By Correlation One, National University Of Colombia, National University Of Colombia.
Who are Kevin Morgado's colleagues?
Kevin Morgado's colleagues are Adriana Harris Mercado, Ivan Pulido, Yulder Fabián Urquijo Narváez, Brayan Stiven Melenge Gonzalez, Julieth Hernandez Lopez, Nestor Fabio Pacacira Leon, Wilson Sacristán Castiblanco.
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Kevin Morgado
Stagiaire Au Département Administration Du Personnel Chez Espace Entreprise (Dip)Lancy -
kevin morgado
Buenos Aires
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