Laura Muñoz Cantillo

Laura Muñoz Cantillo  new_releases

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Data analyst/Scientist
Bogota D.C., Colombia

Contact Laura regarding: 
Flexible work

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Résumé


Jobs verified_user 0% verified
  • M
    Data scientist
    MICRO-10 LTDA, Bogotá D.C.
    Feb 2024 - Current (2 years 9 months)
    Activities
    ● Trained world-class AI models, using a diverse set of programming languages such as
    Python, and SQL and core skills like Data structures, Algorithms, Deep Learning, and
    Natural Language Processing models.
    ● Provide feedback to the model in incorrect responses
    ● Review solutions of other developers before using the sample for incremental learning
    Accomplishments:
    - Solved different analysis requests such as cohort analysis, RFM analysis, and correlations between different variables, for different kinds of datasets.
    - Maintain great quality scores throughout the projects.
  • Serempre
    Sr data analyst public Remote experience
    Serempre
    Oct 2023 - Feb 2024 (5 months)
    Activities:
    ● Collect and clean large data sets to ensure accuracy and analysis.
    ● Generate Databases for the client's needs.
    ● Develop clear visualizations to convey complicated data clearly and concisely.
    ● Present the analysis results clearly and concisely to the client so that they can make
    better decisions regarding the business.
    ● Communicate the analysis results to managers and other team members.
    Accomplishments:
    - Automation of daily data collection and processing processes, from 3 hours to half an
    hour.
    - Establishment of the data pipeline to servers required by the client
    - Code generation for automation of records in databases for QA of automated processes.
  • W
    Data Scientist public Remote experience
    WA SOLUTION SAS
    Jan 2023 - Current (3 years 10 months)
    Activities:
    ● Developed data pipelines for statistical processing and data modeling.
    ● Applied statistical methods and models to new developments targeting DDMRP, demand planning, and supply chain.
    ● Created products and services by integrating machine learning focused on S&OP and demand planning.
    Accomplishments:
    - Led the complete backend development of a tool that selects the best forecasting method for time series data, employing models like Auto Arima, Tbats, and TensorFlow, coupled with statistical modeling.
    - Designed an automated and interactive DDMRP buffer simulator suitable for various industries, including front-end development.
  • I
    Data Scientist
    ITNOVAR SAS
    Dec 2022 - Current (3 years 11 months)
    ● Establishment of connection and integration of different databases.
    ● Development of SAS code and queries for connecting and importing information from multiple servers.
    ● Performing data mining processes for all assigned databases.
    ● Support in the development of text analysis models and neural networks.
    Accomplishments:
    - Development of more than 16 interactive dashboards for report generation in Justice processes.
    - Optimization of databases and dashboards for sets of 12-13 million records, reducing query and opening times from 18 minutes to 1:20 minutes.
  • Ministerio de Justicia
    Engineer public Remote experience
    Ministerio de Justicia
    Mar 2019 - Sep 2022 (3 years 7 months)
    - Created an interactive monitoring system generated with Machine Learning tools
    - Analytical models that supported the strategic decisions of the Ministry regarding the management of chemical substances in the country
    - Built, debugged, and migrated 10 databases using ETL tools, including Python, R, and SQL.
    - Applied statistical modeling to databases to establish the dynamics of the use of chemical substances at the national level during the years 2019-2021.
  • Hanna instruments
    TAM
    Hanna instruments
    Dec 2017 - Dec 2018 (1 year 1 month)
    - Implemented new testing technologies based on market and business analysis in 20
    companies.
    - Databases of more than 500 companies refined and updated
    - Determined strategies for clients by using data analysis to segment them.
  • Fiproquim Ltda
    Technical advisor
    Fiproquim Ltda
    Feb 2017 - Aug 2017 (7 months)
    - Consolidated database based on clients' commercial segments.
    - Data-driven decision-making by finding trends using Google tools.
    - Built-up databases for more than 200 clients.
    - Increased profits for 20 companies by up to 12% by making data-driven decisions.
Education verified_user 0% verified
  • M
    Maestría en Analítica Aplicada
    Jul 2022 - Current (4 years 4 months)
  • Universidad de los Andes
    Ingeniera química
    Universidad de los Andes
    Jan 2011 - Nov 2016 (5 years 11 months)