Data is like an iron ore, it needs to be treated carefully to become a powerful tool
About me
Hi, my name is Hector and I am a mechanical engineer, always with my mind set on efficiency, optimization and performance. This has led me down the path of modeling systems and simulation, which involves analyzing a lot of data with the aim of transforming it into insights.
In this process I have found it necessary to improve programming skills by going from Matlab to Python and recovering the previously forgotten R. At this point I found it necessary to specialize in data science, taking a master's course in Big Data and Business Intelligence to learn the techniques and necessary technologies.
I consider myself a proactive person, driven by curiosity to understand products, markets and the environments where they are developed, paying special attention to detail. In order to achieve the goals, I think that the teams have to have a common objective where everyone rows in the same direction and where the diversity of the group feeds back from the synergies generated by compensating the strengths of some the weaknesses of others.
Do you want to work together? Please reach out to me by e-mail.
Technical Skills
These are the technical skills that I have been obtaining and where I continue to improve day by day. All this developed on a basis of mathematics and statistics focused on practice.
Programming Language
Python and R focused on data processing with packages such as Pandas, Numpy, Seaborn, ScikitLearn, Dplyr, ggplot2, StatsModel.
Python, R and Matlab
Big Data
Hadoop and Spark as tools to process large amounts of data as it is produced today. Distributed systems.
Spark and Hadoop
Data Analysis and Visualization
Data wrangling. Exploratory data analysis. Use of graphics to convey ideas or concepts clearly. Feature Engineering.
PowerBI
Machine Learning
Machine learning algorithms. Regression and classification. Cross validation. Hyper-parameter tuning. Metrics.
Scikit-Learn, Tensorflow
Database
Relational database (MySQL and SQLite). NoSQL (MongoDB queries). Extraction, transformation and loading.
MySQL, MongoDB and YYY
Cloud Computing
The general trend in the IT sector is to migrate a large part of the systems to the cloud due to the flexibility that these provide. Databricks.
Databricks
Portfolio
These are some of the projects I have worked on, currently I use them to practice data science tools as well as learn new techniques to apply.