About me / Acerca de mi 👩💻
Doing data
Daily data
Contributions
- Data Analyst
graph TD;
Data-Analyst-->SQL;
Data-Analyst-->Python;
Data-Analyst-->PowerBi;
Data-Analyst-->Tableu;
Data-Analyst-->Excel;
Data-Analyst-->Knime;
- Data Science
graph TD;
Data-Science-->Python;
Data-Science-->Linux;
Data-Science-->Git;
Data-Science-->GitHub;
Data-Science-->Machine-Learning;
Machine-Learning -->Scikit-Learn;
Machine-Learning -->PyTorch;
Machine-Learning -->TensorFlow;
Machine-Learning -->Keras;
Machine-Learning -->XGBoost;
Machine-Learning -->Statsmodels;
Data-Science-->Deep-Learning;
Deep-Learning -->TensorFlow;
Deep-Learning -->Keras;
Deep-Learning -->PyTorch;
Data-Science-->Big-Data;
Big-Data -->Apache-Spark;
Big-Data -->Scala;
- Cloud
graph TD;
Cloud-->AWS;
AWS-->Instances-EC2;
Instances-EC2 -->On-Demand;
Instances-EC2 -->Dedicated;
Instances-EC2 -->Reserved;
Instances-EC2 -->Host;
AWS-->Storage-S3;
Storage-S3-->Standard;
Storage-S3-->Intelligent-Tiering;
Storage-S3-->Infrequent-Access;
Storage-S3-->Glacier;
AWS-->Virtual-Private-Cloud-VPC;
Virtual-Private-Cloud-VPC-->Security-Groups;
Virtual-Private-Cloud-VPC-->Subnets;
AWS--> Database;
Database --> RDS;
RDS --> Aurora;
RDS --> Redshift;
RDS --> Athena;
Database --> Dynamo;
AWS--> IAM;
Cloud-->GCP;
GCP-->DEVOP`s;
Coding from Madrid 📌
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"id": 1,
"properties": {
"ID": 0
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[-3.7038, 40.4168],
[-3.7038, 40.4168],
[-3.7038, 40.4168],
[-3.7038, 40.4168],
[-3.7038, 40.4168]
]
]
}
}
]
}
Countries
Click Here 👈 0D1117
- My snake path
Python |
Amazon Web Services (AWS) |
Google Cloud Platform (GCP) |
Apache Spark |
Linux |
Git |
Pandas |
NumPy |
Matplotlib |
Seaborn |
Python |