David Francisco Bustos Usta

David Francisco Bustos Usta  new_releases

About

Detail

ML Engineer and Statistics. PhD Modeling
Bogotá, Bogota, Colombia
Contact David regarding: 
work
Full-time jobs
Starting at USD5K/month
Flexible work

Timeline

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Project

Résumé

Jobs verified_user 0% verified
  • C
    Machine Learning Engineer public Remote experience
    Conversion Logix
    Oct 2024 - Current (1 year 7 months)
    - Unified Attribution: building models to measure and optimise marketing channel performance. - Pipeline Development & Validation – designing, automating, and validating robust ML and data pipelines. - Campaign Alerting : detecting anomalies and creating
  • Level60 Consulting
    Data Engineer public Remote experience
    Level60 Consulting
    Sep 2024 - Current (1 year 8 months)
    Inspire pricing
  • A
    Senior Data Scientist
    AbInbev – Beer Company
    Nov 2023 - Feb 2025 (1 year 4 months)
  • Kenility
    AI Specialist
    Kenility
    Dec 2022 - Jul 2025 (2 years 8 months)
  • Unilever
    Senior Data Scientist
    Unilever
    Aug 2022 - Current (3 years 9 months)
  • A
    Data Scientist
    ABInbev - Bavaria S.A
    Oct 2020 - Mar 2021 (6 months)
  • T
    Teacher
    Tutor.c
    Feb 2016 - Sep 2019 (3 years 8 months)
  • G
    Data Scientist
    Google Colombia
    Feb 2016 - Jun 2022 (6 years 5 months)
Education verified_user 0% verified
  • Universidad de Concepción
    PhD Modeling
    Universidad de Concepción
    Jan 2021 - Current (5 years 4 months)
  • Universidad del Norte
    Applied Physics Master
    Universidad del Norte
    Feb 2019 - Current (7 years 3 months)
  • Universidad del Norte
    Physics
    Universidad del Norte
    Feb 2019 - Current (7 years 3 months)
Projects (professional or personal) verified_user 0% verified
  • A
    Fraud Detection
    AbInbev – Beer Company
    Nov 2023 - Current (2 years 6 months)
  • A
    Aliveness Probability
    AbInbev – Beer Company
    Nov 2023 - Current (2 years 6 months)
  • A
    Repurchase propensity
    AbInbev – Beer Company
    Nov 2023 - Current (2 years 6 months)
  • A
    High Value new User
    AbInbev – Beer Company
    Nov 2023 - Current (2 years 6 months)
    As a High Value New User, I was responsible for onboarding and supporting high-value clients, ensuring they received tailored solutions to meet their unique needs. I facilitated training sessions and provided ongoing support to enhance user experience and satisfaction. Additionally, I implemented machine learning pipelines from data extraction to deployment on Business Intelligence platforms, utilizing tools such as Databricks, Python, FastAPI, and Power BI to create effective UI/UX solutions. This integration of advanced technologies not only streamlined processes but also significantly improved the overall client engagement and satisfaction.
  • U
    Forecast Sell Out Ice Cream
    UNILEVER DE MÉXICO S. DE R.L.
    Sep 2023 - Current (2 years 8 months)
  • Kenility
    AIVA Voicebot Truvideo -CDK
    Kenility
    Jun 2023 - Current (2 years 11 months)
    As the AIVA Voicebot Truvideo -CDK, I was responsible for developing and implementing advanced voicebot solutions that enhanced user interaction and streamlined processes. My role involved collaborating with cross-functional teams to ensure the voicebot met business requirements and user expectations. Additionally, I utilized R for analytics logic, which was crucial for understanding user behavior and improving the voicebot's performance. I also employed Python, SQL, and Microsoft Azure to manage metrics and control the overall performance of the voicebot, ensuring that it operated efficiently and effectively in real-time scenarios.
  • A
    Forecast Orders Tada App
    AbInbev – Beer Company
    May 2023 - Feb 2025 (1 year 10 months)
    As a Forecast Orders Tada App specialist, I was responsible for developing and implementing forecasting models to optimize order management and enhance operational efficiency. This role involved collaborating with cross-functional teams to ensure accurate data integration and analysis. Additionally, I implemented machine learning (ML) pipelines from data extraction to deployment on business intelligence (BI) platforms, utilizing tools such as Databricks and Python. I also leveraged Microsoft Power BI for user interface and user experience (UI/UX) design, ensuring that stakeholders had access to actionable insights and visualizations that informed decision-making processes.
  • T
    Translations Truvideo Platform
    TruVideo, Kenility
    Jan 2023 - Current (3 years 4 months)
    - Managed the translation processes for the Truvideo platform, ensuring high-quality and accurate translations across multiple languages. - Collaborated with cross-functional teams to enhance the translation module's functionality and user experience. - Utilized R scripts to validate responses, ensuring the integrity of the translation outputs. - Leveraged data science principles, including Apache Spark and Microsoft Azure, to optimize the analytical framework supporting the translations. - Employed SQL procedures to validate results, enhancing the reliability of the translation process. - Developed the data analytics platform for the translations module using Databricks, integrating several machine learning models and statistical appr
  • T
    Smart replies Truvideo
    TruVideo, Kenility
    Jan 2023 - Current (3 years 4 months)
  • T
    Sentiment analysis Truvideo
    TruVideo, Kenility
    Dec 2022 - Current (3 years 5 months)
  • G
    Fraud Detection CNN-LSTM Rankbrain
    Google Colombia
    Feb 2019 - Dec 2019 (11 months)
    In my role as a Fraud Detection CNN-LSTM Rankbrain specialist, I was responsible for developing and implementing advanced machine learning models to identify and mitigate fraudulent activities. This involved analyzing large datasets, optimizing algorithms, and continuously improving detection accuracy. Additionally, I utilized Microsoft Power BI to monitor key metrics over time, ensuring effective operational oversight of our fraud detection mechanisms. This integration of BI tools allowed for enhanced MLOPS practices and operational monitoring, contributing to a more robust fraud prevention strategy.
  • G
    Google Brain Optimizer
    Google Colombia
    Feb 2016 - Aug 2019 (3 years 7 months)