Francisco J. García Pretelt
Data Analyst at Lean Tech- Claim this Profile
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English Full professional proficiency
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Spanish Native or bilingual proficiency
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Bio
Experience
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Lean Tech
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Colombia
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Strategic Management Services
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300 - 400 Employee
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Data Analyst
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Apr 2021 - Present
● Developed data manipulation algorithms on Python and SQL (T-SQL and Snowflake) to influence decision-making processes alongside with costumers. ● Developed data visualization dashboards and reports on Power Bi and SSRS to influence decision-making processes alongside with costumers. ● Participated in data migration from Azure to Snowflake ● Designed efficient data pipelines using DBT, allowing an easy transformation, test and documentation of the tables and views ● Developed data manipulation algorithms on Python and SQL (T-SQL and Snowflake) to influence decision-making processes alongside with costumers. ● Developed data visualization dashboards and reports on Power Bi and SSRS to influence decision-making processes alongside with costumers. ● Participated in data migration from Azure to Snowflake ● Designed efficient data pipelines using DBT, allowing an easy transformation, test and documentation of the tables and views
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IGerencia | Business Analytics | Business Intelligence | Data
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Colombia
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist
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Nov 2020 - Apr 2021
● Developed a tax-verification pipeline with Python and SQL. ● Implemented time series models based on Python and SQL. ● Developed data manipulation and visualization algorithms on Python and SQL to influence decision-making processes alongside with costumers. ● Developed a tax-verification pipeline with Python and SQL. ● Implemented time series models based on Python and SQL. ● Developed data manipulation and visualization algorithms on Python and SQL to influence decision-making processes alongside with costumers.
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GRUNECO
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Medellín, Antioquia, Colombia
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Researcher
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Nov 2018 - Nov 2020
● Processed and filtered biomedical signals in Python and Matlab. ● Implemented predictive pipelines in Python based on EEG records of Alzheimer patients. ● Supervised the development of a Python-based software for automatic processing of electroencephalographic records. ● Processed and filtered biomedical signals in Python and Matlab. ● Implemented predictive pipelines in Python based on EEG records of Alzheimer patients. ● Supervised the development of a Python-based software for automatic processing of electroencephalographic records.
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TECHFIT Digital Surgery | Making digital surgery simple and seamless.
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United States
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Medical Equipment Manufacturing
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1 - 100 Employee
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Techfit Engineer
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Apr 2018 - Jul 2020
● Developed python-based modules to automatize the design, document and report of medical implants. ● Designed machine learning models based on biomedical data. ● Supervised the development of an AR app focused on the medical - engineer communication to validate medical implants. ● Led the migration from a static data visualization platform to a Power-BI based system, including dynamic reports and real time statistics. ● Developed python-based modules to automatize the design, document and report of medical implants. ● Designed machine learning models based on biomedical data. ● Supervised the development of an AR app focused on the medical - engineer communication to validate medical implants. ● Led the migration from a static data visualization platform to a Power-BI based system, including dynamic reports and real time statistics.
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Education
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Universidad de Antioquía
Master of Science - MS, Bioengineering and Biomedical Engineering -
Universidad de Antioquía
Engineer's degree, Bioengineering and Biomedical Engineering