Romario Coronel

About me

I am consider a person punctual,personable and efficient . My major is in system engineering and recently, I finished my master's degree in data science.
I was considered an ordinary member at the prestigious institution called "Colegio de Ingenieros del Peru" with the number of registration Nº 267040.
According to my experience, I know the technology of Big Data, Machine Learning, and Data Analytics.
Additionally, with the attitude and ability to work in a proactive team. finally with the moral values of honesty, responsibility, punctuality, and the capacity to take on new challenges.

Collaborative work

Prepared for working in agile projects in a participatory way and obtaining new knowledge, so also proposing improvements of solution of the problem.

Creativity and innovation

Prepared to generate new ideas of solution in a project related to big data analytics. Able to solve problem really fast.

Team work

Suitable for working in a team, participating of collaborative way in a team.

Skills

Regarding to my experience, I have obtained different skills related to the field big data, cloud computing and data science.

Programming language

I have obtained experience in the next programming language Swift, Python, R and Java

Cloud Computing

In the cloud provider Amazon Web Service. I have worked with following services Amazon SageMaker, Amazon RDS, Amazon EC2, Amazon S3. In Microsoft Azure, I have used Azure Storage Acccount, Azure Data Factory, Azure Databricks, Azure SQL Database.

Machine Learning

Use of machine learning algorithms by type of learning either supervised with regression, classification or unsupervised with clustering. Supervised learning with regression, classification and unsupervised learning with clustering. Main algorithms K-nearest Neighbors, Decision Tree, Random Forest and SVM.

Python Libraries

Use of data visualization libraries such as Matplotlib, Seaborn, Plotly and Dash. Matplotlib, Seaborn, Plotly and Dash. In addition, for data manipulation and data analysis the Scikit-Learn library is used. Also for training and building the machine learning model the Scikit-Learn library.

Version Control System

Proficiency with the Git version control system through different repositories through different repositories such as GitHub, GitLab, Bitbucket either by terminal command or by desktop application such as desktop application such as GitHub Desktop and Sourcetree.

SQL y NoSQL

Relational and non-relational database management such as MongoDB.

Achievements

Achievements and acknowledgments

Second place

Space Hackathon BBVA

Hackathon 2021 organized by BBVA
We have developed a web site with a solution of an analytical model.
With my team, we got the second place in the Space Hackaton BBVA 2021. It has been an experience rewarding to work with a team of different disciplines and specializations.

Hello , I am Romario Coronel.