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If you visit any recipe websites, let’s say food.com, for example, you will notice a section called “You’ll also love.” Under this section, the website recommends recipes related to the one you are looking at or based on your past rating patterns. The end objective of this project is to perform EDA and extraction from the raw data using PySpark

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aws-ec2 jupyternotebook machine-learning project pyspark python

recipe_recommender_assignment_eda's Introduction

Ananta Kumaar V R

👋 Hi, I'm Ananta Kumaar V R, a passionate Data Analyst with a keen interest in data visualization, analysis, and building regression models.

👨🏻‍🎓 Education:

  • Bachelor's Degree in Biotechnology from Sri Venkateswara College of Engineering with an overall CGPA of 7.5.

🌱 Professional Journey:

  • Completed Data Science and Data Analytics program at IIIT Bangalore with an impressive CGPA of 9.45, gaining valuable experience and knowledge in the field from industry experts.

💼 Current Role:

  • Former Data Analyst Intern at Bosch India, Bangalore, where I worked on multi-variant econometric analysis of vehicles using data from the CMIE Economic Outlook Website of India.

💻 Certifications:

  • Proficient in Python, MySQL, R-Programming, and Power BI, certified by NIIT, with a focus on data visualization and analysis.

🎹 Hobbies:

  • A Pianist with a passion for music, successfully completing 8 Grades conducted by Trinity College London.

💡 Additional Certification:

  • Certified Lean Six Sigma: Green Belt from PathMaker360 to enhance problem-solving skills in a business context.

📫 Connect with Me:

Feel free to connect with me on LinkedIn or explore my GitHub repository for a glimpse of my data analytics projects and contributions.

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