Gabriel camilo Herrera Mogollon
Gabriel camilo Herrera Mogollon

Gabriel camilo Herrera Mogollon  new_releases

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Data Scientist
Bogota D.C., Colombia

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2011
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Résumé


Jobs verified_user 17% verified
  • 8020 REI
    MID DATA SCIENTIST II public
    8020 REI
    May 2024 - Jun 2024 (2 months)
    - Reviewed XGBoost model for recommendations (Databricks PySpark).
    - Conducted A/B testing for recommendation model.
    - Enhanced the base model for deal recognition.
    - Identified optimization opportunities to improve processes and pipelines.
    - Identified deals and stored them in S3.
  • K
    JUNIOR DATA SCIENTIST public
    Kushki Colombia SAS
    Jun 2023 - Apr 2024 (11 months)
    - Data and extracting transformation: AWS SageMaker to extract, transform and upload data from
    various sources including Redshift, Athena and other databases.
    - Scheduling and Monitoring: Developed job scheduling in Glue and established monitoring
    mechanisms to ensure the integrity and timeliness of automated data flows.
    - Data Visualization: Proficient in creating data visualizations and dashboards exclusively using
    Power BI, Google Sheets, and Kibana. These tools were used to effectively communicate insights and
    findings to stakeholders
    - Advanced Analytics: Developed advanced analytics solutions including the generation of clustering models for risk assessment. These models contributed to data-driven de
  • N
    DATA SCIENTIST public
    Nolatech & Evolve Analitycs
    Feb 2023 - Apr 2024 (1 year 3 months)
    - Data and extracting transformation: Utilized Python and Pandas to connect to MySQL databases,
    extracting, transforming, and loading data. Conducted data processing and standardization.
    - Data Visualization: Proficient in generating interactive maps with Folium, Plotly, and GeoJSON. Created dashboards and visualizations to effectively communicate insights and findings using tools such as Power BI, Carto, Google Analytics, and Metabase
    - Natural Language Processing (NLP): Applied NLP techniques using NLTK for sentiment analysis,
    named entity recognition, and text classification. Leveraged NLP to extract valuable insights from
    unstructured text data.
  • Scotiabank Colpatria S.A
    Data Analyst verified_user public
    Scotiabank Colpatria S.A
    Jul 2021 - Jul 2022 (1 year 1 month)
    - Savings of one billion (COP) achieved measured by the payment of tax transactions from credit card franchises, making an application using VBA and SQL.
    - Optimization of regulatory reporting on average 60% of the time.
  • Scotiabank Colpatria S.A
    Data Analyst
    Scotiabank Colpatria S.A
    May 2020 - Mar 2021 (11 months)
    - The generation time of twenty-three regulatory reports was reduced as part of the One-Month Lag project, was measured by transmission time from 30 to 3 days using VBA and SQL.
  • Scotiabank Colpatria S.A
    Data Analyst Intern
    Scotiabank Colpatria S.A
    Oct 2019 - Apr 2020 (7 months)
    - Proposal for a model for evaluating the criticality of regulatory reports.
    - I managed to create a template for generating the calendar of regulatory report submissions, the calendar generation time decreased from 5 to 1 day
Education verified_user 0% verified
  • I
    BUSINESS INTELIGENCE MASTER DEGREE public
    IMF Business School, Universidad de Nebrija, UIDE
    Jun 2023 - Dec 2024 (1 year 7 months)
  • Correlation One
    Data Science For All public
    Correlation One
    Mar 2022 - Aug 2022 (6 months)
  • Udemy
    The Data Science Course 2021: Complete Data Science Bootcamp public
    Udemy
    Feb 2021 - Current (4 years 4 months)
  • Coursera
    Big Data: AdquisiciĂłn y almacenamiento de datos
    Coursera
    Dec 2020 - Jan 2021 (2 months)
  • Coursera
    Big Data: El impacto de los datos masivos en la sociedad actual public
    Coursera
    Dec 2020 - Jan 2021 (2 months)
  • Univerdad  distrital Francisco Jose de Caldas
    Ingeniero de ProducciĂłn
    Univerdad distrital Francisco Jose de Caldas
    Feb 2018 - Current (7 years 4 months)
  • Univerdad  distrital Francisco Jose de Caldas
    Industrial, Tecnología/Técnico industrial
    Univerdad distrital Francisco Jose de Caldas
    2011 - 2018 (7 years 1 month)
Projects verified_user 0% verified
  • Correlation One
    • https://github.com/gcherreram/DS4A-HUV
    Correlation One
    Mar 2022 - Aug 2022 (6 months)
    - Clean, standardize and regularize information in databases.
    - Deployment of the website created using dash and flask in jupyter via google cloud using instances.
    - Versioning management through Git and Github
    Data science approach for epidemiological study in the University Hospital of the valley with a focus on nosocomial infections. Depending on specific laboratory results, the implemented model generated a warning percentage for early identification of possible epidemic due to nosocomial infections