Camilo Hincapié Gutiérrez

Camilo Hincapié Gutiérrez  new_releases

About

Detail

Team Lead D&A | Tech Lead D&A | ML Engineer | MLOps Engineer | Data Scientist | Data Engineer | Researcher | Software Dev | Backend Dev
Antioquia, Colombia

Contact Camilo regarding: 
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Full-time jobs
Starting at USD6K/month
Flexible work
Starting at USD38/hour

Timeline


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Résumé


Jobs verified_user 0% verified
  • A
    Tech Lead Data & Analytics
    Apex Global Mobility
    Jul 2024 - Jan 2025 (7 months)
    Promoted to Tech Lead after establishing myself as a reference point within the team through exceptional delivery across data science projects performing data engineering, machine learning engineering, and software development tasks. I led the technical direction while providing hands-on leadership in project ideation, development processes, task delegation, and agile methodology implementation. My versatility across multiple domains enabled me to bridge gaps between different specialties and drive innovative solutions. My main responsibilities and achievements were: - Technical Architecture & Leadership: * Spearheaded the cross-review of projects to identify common logic patterns and created an internal library to standardize these solut
  • A
    Staff Data Scientist public Remote experience
    Apex Global Mobility
    Apr 2022 - Jun 2024 (2 years 3 months)
    I was a founding member of the D&A team, performing a versatile role that combined Data Science expertise with Data Engineering capabilities. My willingness to learn new technologies and creative approach to solving complex problems positioned me for technical leadership. My major achievements were: - Led the conceptualization, development, and production launch of the company's first recommendation system addressing 3 key business facets: * Recommendation of recurring products and optimal timing for customer offers. * Recommendation of complementary products to enhance the portfolio. * Innovation recommendations for strategic clients. - Spearheaded performance analysis of implemented models, identifying improvement opportunities and desi
  • Zemoga
    Python Developer
    Zemoga
    Jul 2021 - Apr 2022 (10 months)
    I worked as part of the team of one of the principal financial data providers of the U.S. My major achievements were: - Optimized the performance of a financial model using distributed computation by deeply understanding the mathematical calculations and providing an innovative solution. - Enhanced the Docker image used as a unified environment for financial analysts, expanding the available programming languages and libraries. - Proposed and implemented improved coding practices to increase code maintainability. Regarding Zemoga’s internal projects: - Served as Python Mentor in the company’s training program, designing learning roadmaps and guiding mid-junior developers. - Led the Data Science and Machine Learning internal study group,
  • g
    Universidad de Antioquia
    Data Scientist | Researcher | Lead of Software Development public Remote experience
    grupo de Fundamentos y Enseñanza de la Física y los Sistemas Dinámicos (FEnFiSDi), Instituto de Física, UdeA, Universidad de Antioquia
    Mar 2020 - Jan 2023 (2 years 11 months)
    - Conceptualized, designed, and implemented an agent-based model (https://github.com/fenfisdi/cdslib_agents) for epidemiological modeling of contagious diseases such as COVID-19, serving as one of two main algorithms for the Contagious Disease Simulation Library (CDSLib)* - Led software development of CDSLib with a team of 15 developers/researchers, focusing on creating an architectural design for High-Performance Computing (efficient, scalable, and distributed) on Google Cloud. *CDSLib was sponsored by the Ministry of Science, Technology and Innovation of Colombia (Minciencias), the National Learning Service (SENA) and the National School of Public Health, Héctor Abad Gómez, of the Universidad de Antioquia.
  • Intergrupo S.A.
    Data Scientist – Project leader
    Intergrupo S.A.
    Jan 2020 - Jun 2021 (1 year 6 months)
    Project 1 – Forecast energy generation and demand in Colombia - Led a predictive modeling project for one of Colombia's principal energy generation companies, impacting national energy production management. This project aimed to forecast both energy generation and demand of 378 essential points of the national electric grid from historical data of meteorological and power variables. - Began as a support developer for time series predictive models before being promoted to project leader, managing a team of three professionals. - Successfully overcame fundamental project challenges by refactoring essential code components and resolving conceptual and structural issues. - Delivered a successful deployment that increased customer satisfaction
  • Universidad de Antioquia
    Assistant professor
    Universidad de Antioquia
    Aug 2019 - Dec 2019 (5 months)
    Courses taught: - Dynamical Systems II – Advanced course in non-linear dynamics
  • Universidad de Antioquia
    Professional Researcher
    Universidad de Antioquia
    Feb 2019 - Dec 2019 (11 months)
    - Conducted deep data analysis of university data and proposed novel research on transition patterns from Colombian High Schools to UdeA, uncovering valuable insights. - Established strategic relationships with research groups and created foundations for predictive modeling of educational transitions. - Developed advanced SQL-like queries using PySpark for university data analysis, providing valuable tools for project stakeholders
  • Universidad de Antioquia
    College professor
    Universidad de Antioquia
    Aug 2016 - Jun 2017 (11 months)
    Courses taught: - Calculus for Economics - Electromagnetism - Theoretical Physics (classical mechanics)
  • I
    Highschool professor
    ITA
    Jan 2016 - May 2016 (5 months)
    Courses taught: - Physics - Logical reasoning - Biophysics
  • C
    Highschool professor
    Colegio San Francisco de Asís
    Jan 2015 - Nov 2015 (11 months)
    Courses taught: - Physics - Mathematics - Ethics
  • g
    Research internship
    grupo de Fundamentos y Enseñanza de la Física y los Sistemas Dinámicos (FEnFiSDi), Instituto de Física, UdeA
    Jan 2015 - Jun 2016 (1 year 6 months)
  • Universidad de Antioquia
    Research internship
    Universidad de Antioquia
    Dec 2011 - Dec 2012 (1 year 1 month)
    Atomic and Molecular Physics Group (GFAM), Institute of Physics, UdeA
  • Universidad de Antioquia
    Research internship
    Universidad de Antioquia
    Aug 2010 - May 2011 (10 months)
    Physics and Computational Physics Group (FACom), Institute of Physics, UdeA
  • Universidad de Antioquia
    Research internship
    Universidad de Antioquia
    Dec 2009 - Jul 2010 (8 months)
    Condensed Matter Group, Institute of Physics, UdeA
  • Universidad de Antioquia
    Administrative Assistant
    Universidad de Antioquia
    Mar 2007 - Mar 2009 (2 years 1 month)
    Software maintenance
Education verified_user 0% verified
  • Correlation One
    Data Science for All - Colombia public Remote experience
    Correlation One
    May 2020 - Aug 2020 (4 months)
  • Universidad de Antioquia
    MSc. in Physics
    Universidad de Antioquia
    Feb 2017 - May 2019 (2 years 4 months)
  • Universidad de Antioquia
    BSc. in Physics
    Universidad de Antioquia
    Feb 2007 - Jun 2016 (9 years 5 months)
Awards verified_user 0% verified
  • Correlation One
    DS4A / Colombia 2.0: Graduated with Honors
    Correlation One
    Aug 2020 - Current (5 years)
    The certificate and badge earner has graduated with honors from the Data Science For All (DS4A) program as part of the Colombia May-August 2020 cohort. They have learned how to work with Jupyter notebooks, use Python libraries to generate data visualizations, perform exploratory data analysis, and analyze data using Pandas. They also learned the use of different Data Science and AI techniques, such as Decision Trees and the use of kNNs, CNNs, NLP, along with how to practically utilize them. During the program, they worked on data projects utilizing ML and AI techniques to discover solutions to real world problems. To complete their projects, they implemented the topics and tools they learned over the course of the program. The honors badg