iNeuron BusinessIntelligence Internship: End to End Project on Budget Sales Analysis
A Discord bot made for assisting on the concepts of Datamodelling and Databases using OpenAI and Python
Data modeling & the Snowflake Data Cloud using SqlDBM Hands-on lab - corresponding scripts.
Data Modelling Solution, Data Analysis and ML Features for an E-Commerce
Companion code for Aerospike Modeling: IoT Sensors
A Power BI group (AEM9) project under the Analytics Extra Mentorship Program
Power BI Dashboard - AdventureWorks Sales
Balance sheet and income statement to evaluate organization performance and current financial stability.
Customer Electronic Product ,Sales and Transaction Data Report Using Power Bi
Utilizing Power BI, I conducted a comprehensive analysis of the T20 Cricket World Cup to identify the standout performers across various player categories, including Openers, Middle Order batsmen, Lower Order batsmen, All-rounders, and Bowlers.
Experience an amazing setup guide for your backend with JavaScript | This is a just a reference copy of the Ultimate Backend Series by Hitesh Sir 🔥 on the Chai aur Code ☕ YouTube Channel
Code/Homework/Notes from DE Zoomcamp 2024
SL - Sick Leave, WFH - Work From Home analysis
This Power BI project focuses on analyzing employee attrition and key performance indicators (KPIs) to help HR departments identify trends and make informed decisions. The report is divided into four interactive pages: Overview, Demographics, Performance Tracker and Attrition Analysis
This project demonstrates the ETL process using SQL, DAX, and Power BI. Data from 7 Excel files was cleaned, loaded into SQL, and structured into fact and dimension tables. DAX measures for key metrics were implemented, and the final Power BI dashboard offers interactive visualizations with dynamic filters, enabling deeper insights.
A shot into Power Pivot in Excel
Stress Detection Using Natural Language Processing
Design tables, importing data from six CSV files into an SQL database, and conducting data analysis on employees from the 1980s and 1990s, facilitating informed insights from historical workforce records.
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