Generador de horarios en Python para el SII del TecNM Celaya. Extrae horarios, genera combinaciones sin choques y muestra resúmenes diarios de entrada y salida para facilitar la inscripción de materias.

Ingested Tokyo Olympic data into Azure Data Lake using Azure Data Factory. Enhanced data quality with Apache Spark on Azure Databricks. Optimized SQL queries on Synapse Analytics, reducing execution time. Developed engaging Power BI dashboards, boosting user engagement creating KPI's with DAX.

cid10_medical_data

Data Analysis process using python for data exploration and Tableau for a quick one page dashboard

EDA and training model (using Linear Regression- 92.3 percentile accuracy)

This is the 68th batch of data science.

This project analyzes gym member data to uncover trends in attendance, workout preferences, and health habits. The dataset includes demographic details, session statistics, and health metrics.

The IPL 2022 Analysis project is a data-driven exploration of the Indian Premier League (IPL) 2022 cricket tournament. The analysis focuses on utilizing Python programming and various libraries to analyze and visualize the performance of teams, players, and key metrics in the IPL 2022 season.

The IPL 2022 Analysis project is a data-driven exploration of the Indian Premier League (IPL) 2022 cricket tournament. The analysis focuses on utilizing Python programming and various libraries to analyze and visualize the performance of teams, players, and key metrics in the IPL 2022 season.

Data Analyst Project