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Hi 👋 My name is Aruneswaran A B

Data Analyst

I am a Final year student at Annamalai University with a major in Computer Science And Engineering. As a dedicated Computer Science student, I possess a strong foundation in statistical programming, machine learning, Analytical Techniques. With hands-on experience in data cleaning, transformation, analysis, and model development, I've implemented predictive and classification models using Python and SQL. Eager to apply my skills to real-world projects and contribute to innovative Data-Driven Insights and Solutions.

  • 🌍 I'm based in Thiruvarur , TamilNadu.
  • ✉️ You can contact me at [email protected]
  • 🧠 I'm learning Data Analysis using Power BI and Microsoft Excel.
  • 🤝 I'm open to collaborating on Data Science and Data Analysis Projects.

Skills

PythonCC++JavaScriptHTML5CSS3ReactNodeJSExpressMongoDBMySQL

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ARUNESWARAN A B's Projects

car_price_prediction icon car_price_prediction

This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machine learning.

email_spam_detection icon email_spam_detection

One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.

excelerate icon excelerate

Project Report of Superhero Event Campaign Analysis

ipl_2022_analysis icon ipl_2022_analysis

IPL 2022 is one of the popular sporting events being held in India. So, if you want to learn how to analyze IPL 2022, this repository for you. In this repository, I will take you through the task of IPL 2022 analysis using Python.

sales_prediction icon sales_prediction

To predict sales based on the features of the available dataset. The idea is to predict sales using processed data and form models using the Linear Regression method for several different features resulting from feature selection, then evaluate the model and choose the best model.

unemployment_analysis_with_python icon unemployment_analysis_with_python

Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during Covid-19, so analyzing the unemployment rate can be a good data science project.

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