Services costs

Design, development and implementation of an ETL. Developed with Python and performed with technologies such as Apache Spark, Apache Kafka, Pandas, Numpy and Cloud services such as AWS.

Design, development and implementation of Relational and Object Oriented DBMS with technologies such as PostgreSQL and MySQL.

Real time or batch data streaming to a Data Lake. It might include one or more ETL processes. Technologies used: Spark Streaming, Python, Kafka, Hadoop and AWS S3 and Lambda.

Extract clean and transform data from structured or unstructured files. The cleaning process may include Data Validation and Data Classification. It does not include Data Science analysis such as correlations, outliers handle or any other complicated statistical procedure to clean the data. Technologies: Python, Pandas, Numpy.

Extract and validate data. For example; 1) validate value is a number between 1 and 9, 2) dates are within a specific range, 3) text does not contain special characters.

Design, development an implementation of a supervised or unsupervised Machine Learning. This includes Classification, Regression, Clustering and, Dimensionality reduction models.

Clean data from missing values, outliers, duplicates, data types, string manipulations among other procedures to ensure data is ready to fetch our Machine learning model or any other statistical analysis.

Apply statistical and/or logical techniques to describe, illustrate and, evaluate data. Some examples include; 1) Descriptive analysis: Summarize a set of Data. 2) Exploratory analysis: find relationships between variables.

Is the process of grab and analyze Big Data to find features and patterns for Business Intelligence. It combines Data Engineering with Data Science.

Is the use of algorithms to perform various operations on digital images. Operations may include Machine Learning techniques.

Web page API to visualize data from Databases to unstructured files. It can include forms to fetch to a Database, graphs, tables and, login.

Dashboards connected to a Database with Tableau, Dash, Streamlit, Django or Flask.

Plots from structured or unstructured files.

Story telling data reports in PDF, HTML, Power Point. Includes Images, graphs, tables and explanatory text.