cristiano oliveira

Data Scientist

  • North Circular Road
    Dublin, Ireland
  • +55 31 9 97729529 (BR)
  • +353 086 4545 974 (Ireland)
  • cristiano2132.ufv@gmail.com
  • https://cristiano2132.github.io/

skills

  • Python
  • R
  • Pandas
  • dplyr
  • NumPy
  • Matplotlib
  • FastAPI
  • SQL
  • ggplot
  • Docker
  • Data Visualization
  • Exploratory Data Analysis
  • Statistical Inference
  • Experimental Design
  • Scikit-learn
  • Classification
  • Regression
  • Clustering
  • Dash
  • Git

Education

Federal University of Viçosa
2018-2022
  • PhD in Applied Statistics and Biometrics

  • Federal University of Viçosa
    2016 - 2018

    Master Degree in Applied Statistics and Biometrics.


    Federal University of Viçosa
    2010 - 2016

    Degree in Mathematics


    About Me

    I am a highly skilled professional with a strong background in Mathematics, specializing in linear algebra, calculus, statistics, and probability. I leverage this expertise in data analysis and modeling, utilizing essential libraries like Pandas, NumPy, and SciPy to generate valuable insights.

    Working in Agile environments, I have a proven track record of delivering projects on time, collaborating with cross-functional teams to ensure efficient workflows. In terms of development, I possess extensive experience with Python and the Scikit-Learn library, successfully implementing regression, classification, and clustering models for accurate predictions and actionable insights.

    With exceptional problem-solving and communication skills, I can effectively translate complex concepts into practical solutions that resonate with non-technical stakeholders. Overall, my combined knowledge in Mathematics, data science, and software development makes me an invaluable asset to teams seeking to leverage data for strategic decision-making and driving business success.

    Work Experience

    Data Scientist and Python Developer / Nuvem Tecnologia
    Jul 2020 - Current

    Responsibilities:

    • Build and optimize statistical and Machine Learning models using multiple tools: R, Python, and SQL.
    • Plan and deploy data-driven model-based solutions.
    • Mentor and share knowledge with the team.
    • Construct APIs.
    • Plan and build automated data ingestion and transformation workflows integrated with AWS solutions (S3, EC2, Athena, and Airflow).


    Project and Research Coordinator / Laboratory of Analysis and Research in Applied Statistics (LAPEA)
    Apr 2020 - Aug 2020

    Responsibilities:

    • Communicate with clients.
    • Define research and training objectives.
    • Organize teams and their activities.
    • Plan consulting/advisory projects.