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

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.

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.

This is the 68th batch of data science.

This repo hosts all the datasets and notebooks I used for my articles in my personal blog.

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

Data Analyst Project

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.