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power-query-editor

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This project aims to analyze the survey on data professionals and identify trends and insights related to career transition. The project will leverage several key performance indicators (KPI’s) to measure the average salary of data professionals around the world, including their favorite Programming language and other factors.

  • Updated Jul 11, 2023

A comprehensive project that involves analyzing movie datasets to extract insights and trends, coupled with a context-based recommendation system. This system recommends movies based on user preferences and contextual factors. The project includes data preprocessing, exploratory data analysis, and model deployment using Streamlit

  • Updated Aug 6, 2024
  • HTML

This dashboard enables users to assess the market's size and growth trends, offering insights into the total number of BEVs and PHEVs in the dataset. Additionally, it includes an analysis of the average electric range of these vehicles, which helps gauge technological advancements and efficiency improvements within the industry.

  • Updated Feb 26, 2024

Developed a sales dashboard for AtliQ Hardware, showcasing key metrics like Revenue and Sales Quantity. Enables quick assessment of performance and addressing declining sales with filters by YEAR and MONTH. Detailed SQL commands and DAX queries provided for reference.

  • Updated Dec 21, 2023

The 💼 Bank Loan Report Dashboard is a fully automated Excel 📊 dashboard designed to analyze and visualize key metrics of a bank's loan portfolio. It provides 📈 insights into loan applications, funded amounts, repayments, interest rates, and borrower profiles, helping banks make data-driven decisions with ease. 🏦✨

  • Updated Aug 31, 2024

The 🏏 IPL Scorecard/Points Table Dashboard provides 📊 real-time visualizations of scorecards and standings using Power BI. It pulls 🔄 live data from the Cricbuzz API for up-to-date insights. The dashboard features 🎮 interactive scorecards, 📋 player info, and a 📈 dynamic points table, all enhanced by 🎨 custom backgrounds designed in Figma.

  • Updated Aug 31, 2024

This project analyzes the 2024 Olympic Games with a focus on 🥇 athlete performance, 🏆 medal distribution, and 🌍 country rankings using Power BI and Python. Featuring data from 206 countries and 1,698 teams, it provides insights into 👟 athlete stats, 👫 gender distribution, and 📊 historical trends from 1896 to 2022.

  • Updated Sep 4, 2024
  • Jupyter Notebook

Our sales analysis leverages data-driven insights to understand customer preferences, seasonal trends, and market dynamics. By uncovering patterns in sales data, we inform strategic decisions, optimize inventory, and boost customer satisfaction. At Adventure Works, we transform data into actionable strategies to meet the evolving needs of adventure

  • Updated Aug 4, 2024

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