About Me

My background in Mathematics has equipped me with a solid understanding of key mathematical concepts, including linear algebra, calculus, statistics, and probability. This knowledge forms the basis for my data analysis and modelling approach. I am well-versed in using essential libraries such as Pandas, NumPy, and SciPy, enabling me to perform robust data analysis and generate valuable insights. Working in Agile environments, I have a track of record of successfully delivering projects within deadlines. I am habituated to following Agile methodologies and working as part of cross-functional teams, ensuring coordination and efficient workflow. In terms of my development expertise, I have extensive experience with Python and the Scikit-Learn library. I have successfully developed and implemented regression, classification, and clustering models achieving accurate predictions and actionable insights. My experience in these areas allows me to make significant contributions to data-driven decision-making processes. I excel in problem-solving, attention to detail, and effective communication of complex concepts. With my combined knowledge as a Data Scientist and Developer, I can translate mathematical concepts into practical solutions that resonate with non-technical stakeholders. Overall, my ability to combine mathematical expertise, data science skills, and software development capabilities positions me as a valuable asset to any team focused on leveraging data for strategic decision-making and driving business success.

Name:
Cristiano Oliveira
Birthday:
27 December 1990
Degree:
PhD
Experience:
3 Years
Address:
North Circular Road, Dublin, Ireland
Email:
cristiano2132.ufv@gmail.com

Skills

Python

90%

R

70%

Machine Learning

90%

Artificial Intelligence

70%

POO

90%

Remote Sensing

90%

Statistical inference

90%

Design of Experiments

90%

Work Experience

Data Scientist and Python Developer / Nuvem Tecnologia
Aug 2022 - Current

At Nuvem Tecnologia, I thrive in creating cutting-edge solutions that leverage the power of data and technology. Through the adept use of advanced tools and languages, I contribute to the development of impactful applications that drive business growth and innovation.

Technologies Utilized:
  • Leveraged AWS services including EC2, S3, and Athena for efficient data processing and analysis.
  • Orchestrated seamless deployment using Docker and Docker Compose, ensuring reliability and scalability.
  • Utilized both SQLite and Postgre for effective data management and manipulation.
  • Employed GitHub for collaborative version control and code management.
Programming Proficiency:

Mastered Python, SQL, and R languages, enabling me to implement sophisticated data analysis and machine learning solutions.

Frequently Utilized Libraries:

Harnessing the capabilities of scipy, numpy, pandas, geopandas, rasterio, gdal, scikit-learn, and matplotlib, I've built comprehensive data-driven applications that deliver valuable insights.

Responsibilities as a Data Scientist:
  • Constructed robust Machine Learning models for regression, classification, and clusterization tasks, driving data-driven decision-making.
  • Developed and maintained AI models to ensure the accuracy and effectiveness of predictive capabilities.
  • Performed intricate data processing and analysis, extracting meaningful insights that influence strategic decisions.
  • Created engaging visualizations, effectively conveying complex information to both technical and non-technical stakeholders.
Responsibilities as a Python Developer:
  • Automated data processing procedures, significantly enhancing efficiency and accuracy.
  • Crafted web applications utilizing a robust tech stack, including Docker, Docker Compose, Git, Postgre, and unittests, while ensuring code quality through continuous integration of testing.
  • Led the deployment of innovative solutions for both personal and team projects, fostering technological advancement.
  • Collaborated with and supported cross-functional teams, leveraging my technical expertise to provide guidance and solutions when needed.
Key Accomplishments:
  • Engineered and deployed an application capable of processing vast amounts of satellite images. This processing involves cloud identification through pixel classification, feature creation, and clustering based on pixel values.
  • Designed and implemented an application capable of creating real-time rainfall maps, facilitating informed decision-making through instantaneous visualization.
  • Pioneered a satellite image-based anomaly detection process that monitors fields and sends timely alerts in response to deviations from the norm.
  • Orchestrated the development of a data fusion application that seamlessly integrates various data sources to create homogenous area maps.

In my role as a Data Scientist and Python Developer at Nuvem Tecnologia, I consistently strive to innovate and create solutions that marry data science with cutting-edge technology, thereby propelling the company towards growth and success.


Data Scientist / Nuvem Tecnologia
Jul 2020 - Aug 2022

Nuvem Tecnologia is a Mato Grosso-based company that specializes in developing cutting-edge technological solutions. With over 12 years of expertise in the software and applications market, we have cultivated a culture deeply rooted in innovation, creativity, and a genuine concern for people. These core values resonate throughout our organization, driving us to deliver exceptional value to both our esteemed partners and valued customers.


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

As a Project and Research Coordinator at LAPEA, based at the Federal University of Viçosa, I played a pivotal role in addressing a diverse array of research challenges. This involved offering statistical advice, providing consultancy services, and crafting tailored solutions for various issues. Our collective mission aimed to enhance research quality and elevate technical and scientific publications within the academic community.

Responsibilities:

  • Communicated with clients to understand their needs and requirements.
  • Define training programs aligned with project objectives.
  • Organize and led teams, ensuring the execution of activities and tasks.
  • Strategically planned and coordinated consultancy and assistance project.
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


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