Mario Lorente Vilchez
Medical Laboratory Assistant at DynaLIFE Medical Labs- Claim this Profile
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Español Native or bilingual proficiency
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Catalán Native or bilingual proficiency
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Inglés Professional working proficiency
Topline Score
Bio
Credentials
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Developing Mobile Apps
Google ActívateOct, 2021- Nov, 2024 -
Microsoft Excel - Advanced Excel Formulas & Functions
Maven AnalyticsDec, 2020- Nov, 2024 -
Machine Learning by Andrew Ng
Stanford UniversityJan, 2020- Nov, 2024 -
Machine Learning with Python-From Linear Models to Deep Learning
Massachusetts Institute of TechnologyJan, 2020- Nov, 2024
Experience
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DynaLIFE Medical Labs
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Canada
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Hospitals and Health Care
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300 - 400 Employee
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Medical Laboratory Assistant
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Dec 2022 - Present
Stock management and safety designate. Highly regarded by my colleagues for providing assistance with challenging blood extractions, conducting special tests, and dealing with dissatisfied patients. Stock management and safety designate. Highly regarded by my colleagues for providing assistance with challenging blood extractions, conducting special tests, and dealing with dissatisfied patients.
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Alberta Precision Laboratories
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Hospitals and Health Care
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200 - 300 Employee
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Medical Laboratory Assistant
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Sep 2022 - Dec 2022
Performing blood draws and ECG on children and adults in different community labs. Performing blood draws and ECG on children and adults in different community labs.
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NTT DATA Europe & Latam
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Spain
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IT Services and IT Consulting
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700 & Above Employee
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Data Quality
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Nov 2021 - Aug 2022
Ensure that the client's database, Orange Spain, is reliable and consistent. Generate reports that reflect the quality and reliability of the database and indicate the steps to follow for its improvement. Solve specific problems and point out the focus of the error for its later large-scale solution. Establish data entry systems that do not generate short or long-term problems. Ensure that the client's database, Orange Spain, is reliable and consistent. Generate reports that reflect the quality and reliability of the database and indicate the steps to follow for its improvement. Solve specific problems and point out the focus of the error for its later large-scale solution. Establish data entry systems that do not generate short or long-term problems.
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Alberta Health Services
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Canada
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Hospitals and Health Care
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700 & Above Employee
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Medical Laboratory Assistant
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Mar 2021 - Aug 2021
Accession department. Performing blood draws to neonates, children and adults in different hospital conditions. Receiving, preparing and sending samples to their corresponding departments. Accession department. Performing blood draws to neonates, children and adults in different hospital conditions. Receiving, preparing and sending samples to their corresponding departments.
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Sparrowhawk
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Kananaskis, Alberta, Canada
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Data-analyst
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Aug 2020 - Feb 2021
Stock control and forecast through Excel. Creation of excel sheets to track sales made in different stores. Maintenance of databases. Sales and inventory report. Stock control and forecast through Excel. Creation of excel sheets to track sales made in different stores. Maintenance of databases. Sales and inventory report.
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LABORATORIO ECHEVARNE
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Spain
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Hospitals and Health Care
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200 - 300 Employee
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Medical Laboratory Technician
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Nov 2014 - Jul 2020
Apart from working at Clinica Sagrada Familia, I have rotated through different Echevarne laboratories throughout the province to provide training and support for phlebotomies, data entry, sample processing and sample shipment preparation. Also, I have participated in the opening of a center as the only trainer and as assistant manager. In addition to working during the night shift as the only employee, being at the same time the reference person of all Echevarne centers in Spain. Sample analysis, result validation, quality control, machine calibration and maintenance. Show less
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Don't get kicked!
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Barcelona, Catalonia, Spain
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Data Scientist
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Mar 2020 - Apr 2020
Creation of a machine learning model to predict if a car has hidden faults. This project is aimed at businesses affected by the purchase of objects with hidden flaws and want to avoid it or seek the maximum benefit and not invest a large amount of money in repairing them and making them ready for sale. Done with XGBoost and F2-Score metric to minimize the error of classifying a bad purchase as a good deal. Creation of a machine learning model to predict if a car has hidden faults. This project is aimed at businesses affected by the purchase of objects with hidden flaws and want to avoid it or seek the maximum benefit and not invest a large amount of money in repairing them and making them ready for sale. Done with XGBoost and F2-Score metric to minimize the error of classifying a bad purchase as a good deal.
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Education
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NEOLAND
Data Science, Data Modeling/Warehousing and Database Administration -
Freta
Higher Technician in Clinical and Biomedical Laboratory -
Freta
Expert in Auxiliary Nurse Care