About Me

Hi, I’m Ritik Chauhan, a passionate Data Analyst and aspiring Data Scientist committed to transforming data into actionable insights. I specialize in data analysis, visualization, and building machine learning models to solve real-world problems.I have hands-on experience with diverse projects, including an IPL recommendation system, a movie recommendation system, a diabetes prediction model, and comprehensive data analysis for Ola and Netflix. These projects highlight my proficiency in using tools like Python, SQL, and Machine Learning to extract valuable insights and deliver meaningful results..

  • Team Management
  • Leadership
  • Communication
  • Team work
  • Bachlore of technology Computer Science (2021-25)

    Chaudhary Charan Singh University,Meerut

  • Intermediate(2019-20)

    DAV Public School, Haldwani

  • College Hackathons

    Participated in College hackathons as a member of Chaudhary Charan Singh University and secured 4th place in second competitions.
    šŸ”¹ Data Analysis Hackathon – Applied data analytics techniques to derive meaningful insights and solutions from real-world datasets.
    šŸ”¹ Real-Life Solution Hackathon – Developed innovative solutions to address real-world challenges, focusing on practical applications and problem-solving.

  • School Cricket Team

    Represented the school cricket team during 10th grade and 12th grade. Developed skills in teamwork, leadership, strategy, and sportsmanship while competing in various matches and tournaments.

  • Linux operating

    Familiar with Linux operating systems, including basic commands, file management, and system navigation. Able to perform simple configurations, troubleshoot common issues, and work with the command line.

Case Study

Projects

Real Estate Recommendation

The Real Estate Recommendation App is a data-driven property search tool that helps users find the best properties based on their preferences. Built using Streamlit, machine learning algorithms and data analytics.

Movie Navigator

The Movie Navigator System helps users discover the best movies based on their preferences. Built using Streamlit, this interactive app leverages data science and machine learning to provide personalized movie Navigator.

Power BI

This Power BI project leverages data visualization and business intelligence techniques to deliver actionable insights across two critical domains: Finance and Ola (ride-hailing services).

Netflix tableau

The Netflix Dashboard project leverages data visualization and business intelligence techniques to provide actionable insights into Netflix's performance.

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Technologies

Python

Python

Machine Learning

Machine Learning

Data Analysis

Data Analysis

Web Scraping

Web Scraping

Tableau

Tableau

NLP

NLP

scikit-learn

scikit-learn

PowerBI

PowerBI