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A passionate Data Scientist,Data Analyst, ML Engineer, Python Developer


šŸ”­ Iā€™m currently working on Model building for ML

šŸŒ± Iā€™m currently learning LLM(Natural Process Language), AWS (Sagmaker) ...

šŸ’¬ Ask me about Python, MYSQL, MongoDB, Power BI, or anything here

āš” Fun fact I spend my fun time fishing and cooking

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Thanks for visiting! Shoot me a message on LinkedIn! I'm always down to collab! šŸ˜Š



MUTHUKUMAR R's Projects

airbnb-analysis icon airbnb-analysis

In This project aims to analyze Airbnb data, perform data cleaning and preparation, develop interactive geospatial visualizations and suing for MySql , availability patterns, and location-based trends with help of Streamlit app.

energy_consumption_analysis icon energy_consumption_analysis

Project will analyze energy usage and greenhouse gas (GHG) emissions of Ontario's Broader Public Sector (BPS) organizations, leveraging a comprehensive database of reported data.

final_retail_sales_forecast icon final_retail_sales_forecast

In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.

image_creating icon image_creating

Using the Hugging Face API, I am developing a text-to-image converter.

industrial-copper-modeling icon industrial-copper-modeling

In this project will equip with practical skills and experience in data analysis, machine learning modeling, and creating interactive web applications using Streamlit, and provide you with a solid foundation to tackle real-world problems in the manufacturing domain.

youtube-data-harvesting-and-warehousing-using-sql-mongodb-and-streamlit-1 icon youtube-data-harvesting-and-warehousing-using-sql-mongodb-and-streamlit-1

In This project aims to develop a user-friendly Streamlit application that utilizes the Google API to extract information on a YouTube channel, stores it in a MongoDB database, migrates it to a SQL data warehouse, and enables users to search for channel details and join tables to view data in the Streamlit app.

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