Fernando Garcia-Medina Email & Phone Number
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Fernando Garcia-Medina is listed as Data Management Coordinator at Mall Aventura, a with 252 employees, based in Peru. AeroLeads shows a matched LinkedIn profile for Fernando Garcia-Medina.
Fernando Garcia-Medina previously worked as AWS Data Engineer at Zat and Data Specialist at Ntt Data Europe & Latam. Fernando Garcia-Medina holds Bachelor Of Engineering - Be, Electrical Engineering from Universidad De Ingeniería & Tecnología - Utec.
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About Fernando Garcia-Medina
Experienced Data Engineer and Data Scientist with over 4 years of diverse experience in process optimization, pipeline development, and advanced analytics. I am passionate about leveraging technology to drive efficiency and innovation. My expertise includes Databricks, Azure, and Big Data tools, with a proven track record of reducing processing times and improving project efficiency.I possess advanced skills in machine learning, computer vision, and biomedical data analysis, backed by a solid foundation in Electrical Engineering with a focus on Computer Science. I am fluent in multiple languages and excel at collaborating in multidisciplinary teams to solve complex challenges with innovative solutions.I am particularly interested in roles that intersect AI, machine learning, and healthcare, aiming to contribute to groundbreaking projects in bioinformatics and MLOps. My goal is to continue advancing technological development and apply my expertise to impactful global projects.
Fernando Garcia-Medina's current company
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Fernando Garcia-Medina work experience
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Aws Data Engineer
Current
Data Specialist
At NTT Data, I led the optimization of critical data processing flows and solution migration, successfully transitioning processes from Oracle to Azure by leveraging reverse engineering to decode intricate business models.Key Contributions:• Field Analysis and Abstraction: Utilized Cloudera and advanced SQL to review and abstract essential data fields, improving data accuracy and accessibility.• Process Orchestration: Developed and managed network groups, job schedulers, and orchestrated processes with Jenkins and Bitbucket, enhancing operational efficiency.• Automation and Deployment: Designed and deployed automated workflows using Azure Function App, reducing production deployment times by 30%.• Agile Collaboration: Employed agile methodologies to collaborate with diverse, multidisciplinary teams on strategic projects, driving them to completion.• Script Optimization: Optimized scripts and created custom queries using PySpark and Databricks, automating complex processes and saving an estimated 20% in processing time.Soft Skills:• Strong problem-solving abilities and analytical thinking.• Effective communication and collaboration within cross-functional teams.• Adaptability to fast-paced and dynamic work environments.• Proactive approach to continuous learning and professional development.
Data Engineer & Analyst
At Credicorp Capital, I enhanced big data processing using Databricks and PySpark, showcasing my proficiency in designing, developing, and maintaining data pipelines. I employed T-SQL, PySpark, and DataVault 2.0, alongside DataFactory, to ensure top-tier data quality. Implementing agile methodologies such as Scrum, Kanban, and DevOps, I streamlined the efficient delivery of data pipelines.Key Achievements:• ETL Optimization: Reduced processing time from 7 days to just 5 minutes, significantly boosting efficiency.• Investment Portfolio Enhancement: Improved the quality of investment portfolios through DataVault 2.0 modeling and advanced analytical models, delivering substantial benefits to Credicorp Capital.Soft Skills:• Strong analytical and problem-solving abilities.• Effective communication and collaboration within cross-functional teams.• Adaptability to fast-paced and dynamic work environments.• Proactive approach to continuous learning and professional development.Technical Expertise:• High proficiency in cloud computing.
Data Engineer Research & Development : Business Intelligence
• I developed a data analysis platform on DataBricks and PySpark, leveraging DataFactory, which significantly reduced query time for customer data. By migrating Excel visualizations to DataBricks, I achieved a 60% improvement in query time. This platform not only streamlined the querying process but also enhanced the amount of data that could be processed. The system seamlessly connected to a datalake, enabling queries with various data from different banking clients.• Installation and maintenance of monitoring software: I showcased my proficiency in installing and upkeeping monitoring software based on SQL and .NET. This involved implementing robust security measures, which played a pivotal role in assuring clients about the safety of their sensitive data and financial resources. By actively participating in the ongoing maintenance of the monitoring system, I contributed significantly to the overall success of the company, fostering a secure and trustworthy environment for our clientele.
Laboratory Assistant
• Guided students in embedded systems programming with C++ and VHDL, fostering positive learning and promoting future engineers.
Machine Learning Engineer
• Implemented a Mask R-CNN model for medical image pattern recognition, with an accuracy of over 90% in identifying and segmenting organs, using a pre-trained R50-FPN model and a dataset of annotated images.Skills developed:- Advanced knowledge in medical image processing and pattern recognition.- Skills in Python programming and implementation of artificial intelligence models.- Acquisition of experience in the research and application of artificial intelligence in the field of robotic surgery.
Computer Vision Engineer
Developed a novel algorithm for extracting ionosphere characteristics from photos using Computer Vision, resulting in a 19% improvement in ionogram curve segmentation compared to the current method with an impressive 79% efficiency.Achieved a significant breakthrough by accurately identifying the F region of the ionosphere with an average efficiency of 60%, marking a significant advancement in ionogram scaling technology.
Junior Data Scientist
Deep Analysis of Genetic Expression in Schizophrenia and Bipolar DisorderAs a Data Scientist, I conducted a detailed analysis of genetic expression in patients with schizophrenia and bipolar disorder using advanced bioinformatics techniques in R-Studio.I identified common patterns of genetic expression between these two psychiatric conditions, confirming that they share a similar molecular and genetic basis.
Embedded Systems Engineer
• Designed and Designed a low-cost, portable radar system using Python/JS with cost savings of 96% compared to previous laptop-based system.• Implemented acquisition, processing, and data visualization codes on a Raspberry Pi Zero that processed 150 signal data per second.Skills developed:- Advanced knowledge in the operation of radar and electromagnetic wave systems.- Programming skills in Python and JavaScript- Improved ability to design and build hardware and software systems.
Junior Machine Learning Engineer
Transforming EEG Data into Actionable Insights Using Cutting-Edge Neural Network TechnologyAs a Data Scientist, I transformed EEG data into actionable insights using cutting-edge neural network technology, achieving improved state analysis and decision-making.I reached the highest efficiency of 91.7% using the "traingd" algorithm with 256 FFT points.
Colleagues at Mall Aventura
Other employees you can reach at mallaventura.pe. View company contacts for 252 employees →
Ebenezer Santiago
Colleague at Mall AventuraPhilippines
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Elena Chero
Colleague at Mall AventuraTrujillo, La Libertad, Peru
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Eva María Esther Ocupa Aliaga
Colleague at Mall AventuraTrujillo, La Libertad, Peru
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Erika Vizcarra
Colleague at Mall AventuraPeru
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Reyna Yanet Perez Ayala
Colleague at Mall AventuraPeru
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Carlos Torres
Colleague at Mall AventuraHuánuco, Peru
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Alonso Zarate
Colleague at Mall AventuraArequipa, Peru
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Angélica Celeste Linda Estrella Cueva Fuentes
Colleague at Mall AventuraPeru
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Kevin Huerta Pérez
Colleague at Mall AventuraPeru
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Ricardo Cuadros
Colleague at Mall AventuraPeru
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Fernando Garcia-Medina education
Bachelor Of Engineering - Be, Electrical Engineering
Image Analysis In Cell Biology, Cell/Cellular And Molecular Biology
French Studies
Advanced English
Frequently asked questions about Fernando Garcia-Medina
Quick answers generated from the profile data available on this page.
What company does Fernando Garcia-Medina work for?
Fernando Garcia-Medina works for Mall Aventura.
What is Fernando Garcia-Medina's role at Mall Aventura?
Fernando Garcia-Medina is listed as Data Management Coordinator at Mall Aventura.
Where is Fernando Garcia-Medina based?
Fernando Garcia-Medina is based in Peru while working with Mall Aventura.
What companies has Fernando Garcia-Medina worked for?
Fernando Garcia-Medina has worked for Mall Aventura, Zat, Ntt Data Europe & Latam, Credicorp Capital, and Tecsel.
Who are Fernando Garcia-Medina's colleagues at Mall Aventura?
Fernando Garcia-Medina's colleagues at Mall Aventura include Ebenezer Santiago, Elena Chero, Eva María Esther Ocupa Aliaga, Erika Vizcarra, and Reyna Yanet Perez Ayala.
How can I contact Fernando Garcia-Medina?
You can use AeroLeads to view verified contact signals for Fernando Garcia-Medina at Mall Aventura, including work email, phone, and LinkedIn data when available.
What schools did Fernando Garcia-Medina attend?
Fernando Garcia-Medina holds Bachelor Of Engineering - Be, Electrical Engineering from Universidad De Ingeniería & Tecnología - Utec.
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