Prathmesh Talhande's Projects
Me with my collage team mates worked on the data of amazon prime for making Amazon prime show dashboard. We used DAX to make different cards to find which director or Genera was famous in which decades. Also dashboard contains detailed analysis of analysis of amazon prime shows.
I have done simple analysis of Rocket launch , where i tried to make analysis using different graphs. Check out how to do analysis along with different graphs where i have conclusion of graph and why such graph used that is purpose and what insights that graphical analysis gives that is insights.
I have created SQL Analysis project on Combat Fighter Aircraft and Data for aircraft fighter jet collected from ChatGPT. My Database have 28 metadata for detailed evaluation of fighter jets. This evaluation is for educational purpose and strictly based on the information I got for combat fighter aircraft from ChatGPT.
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This project was related to financial ratio analysis of Tata Steel company. In this we learnt to calculate 1) Liquidity ratio 2) Profitability 3) Efficiency ratio 4) Solvency ratio 5) Valuation ratio.
I made HR Analytics dashboard on attrition data.
I tried to make PowerBI dashboard on dummy manufacturing industry data provided by digiXLT consulting company. I used six main pillars to evaluate this data.
I got data related to ICC T20 World Cup 2022 from my college for preparing my first PowerBI dashboard for data analytics using different charts available on PowerBI under Data Analytics Visualizations.
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I with my teammates created Excel dashboard for sales data analysis.
As a project for visualization we make sport analysis of ICC Cricket matches from 2008 to 2019. This analysis includes various analysis.
Me and my friends presented our first Time Series Forecasting on Aurobondo pharma . In this forecasting first we find out descriptive statistics. From that data we made interpretation on skewness and kurtosis. After that we made assumptions based on Jarque bera values. After that we estimated correlation and fitness , significance and robustness.
I have tried to make analysis on 2012 weather data. Check out my repository to find what kind of weather data analysis is possible. Don't miss last two chart that is Bubble chart and Pie chart which is main analysis in my dataset.
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