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👋 Hi there, I'm Anshid

Data Analytics Enthusiast

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👩‍💻 About Me

Hi, I'm Anshid a former physics teacher who's embarked on an exciting journey into the world of data analytics. With a solid foundation in Python, mathematics, SQL, and Tableau, I'm passionate about using data to uncover insights and create meaningful visualizations.

🚀 What I Do

  • 🌐 Web Scraping: I dive into data acquisition using tools like Selenium and Beautiful Soup to gather valuable information from websites.
  • 📊 Data Visualization: I craft interactive and insightful dashboards with Tableau, turning complex data into clear insights.
  • 🧠 Learning: I'm always eager to expand my knowledge in data analytics and stay up-to-date with the latest industry trends.

🛠️ Tech Stack

  • Python 🐍
  • SQL 📊
  • Tableau 📈
  • Selenium 🌐
  • Beautiful Soup 🍲

📫 Let's Connect

📊 Featured Projects

🎉 Thanks for Visiting!

Feel free to explore my projects and connect with me. Let's collaborate and learn together! 🌟


Anshid T K's Projects

diabetes icon diabetes

This project aims to improve the healthcare service related to diabetic patients by reducing readmissions. The model will Predict whether the patients would be readmitted within 30 days, after 30 days, or will not be readmitted.

digits-detection icon digits-detection

The data set contains images of hand-written digits with 10 classes where each class refers to a digit. We will classify the images to corresponding digit.

image-classification icon image-classification

This is a classification problem which uses a dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images.

naukri_webscraping_dashboard icon naukri_webscraping_dashboard

In this project I am scraping job data for "Data analyst" role. Selenium and Beautiful soup are two libraries used for this. The resulting data is analyzed and visualized in Tableau. An interactive dashboard is made as an end result.

olympic_data_sql icon olympic_data_sql

Solving some complex SQL queries on the Olympics data. The data set contains 120 years of Olympics History. The data is downloaded from kaggle

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