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✨ Hello There, I am M Pavan Prathap!

I am a Data Scientist🚀

I am currently in my 5 semester!

About Me

I'm a passionate and data-driven individual with a strong background in data science and machine learning. I love diving into complex datasets, extracting insights, and building predictive models to solve real-world problems. With a keen eye for detail and a knack for turning data into actionable recommendations, I'm on a mission to make data work for businesses.

Experience

Data Scientist at XYZ Company

[Month Year] - Present

At XYZ Company, I work on a diverse range of data-driven projects. My responsibilities include:

  • Conducting data analysis and providing insights to guide business decisions.
  • Building predictive models to optimize marketing campaigns and increase ROI.
  • Developing recommendation systems to enhance user engagement on our platform.
  • Collaborating with cross-functional teams to drive data-driven initiatives.
  • Junior Data Analyst at ABC Corporation

    [Month Year] - [Month Year]

    During my tenure at ABC Corporation, I gained valuable experience in data analysis and reporting. My key accomplishments included:

  • Analyzing sales data to identify trends and provide recommendations for increasing revenue.
  • Automating routine reporting tasks, reducing report generation time by 50%.
  • Assisting in the development of dashboards for executive-level decision-making.
  • Projects

    Predictive Customer Churn Analysis

    [Month Year] - [Month Year]

    In this project, I developed a predictive model to identify customers at risk of churning. Key highlights:

  • Analyzed customer data to identify churn patterns.
  • Built a machine learning model with an accuracy of 85%.
  • Implemented the model to alert the retention team of at-risk customers.
  • Link to Project

    Movie Recommendation System

    [Month Year] - [Month Year]

    I designed and implemented a movie recommendation system using collaborative filtering. The project included:

  • Data collection and preprocessing using Python.
  • Collaborative filtering model development and evaluation.
  • Deployment of the recommendation system as a web application.
  • Link to Project

    Sales Forecasting Dashboard

    [Month Year] - [Month Year]

    I created an interactive sales forecasting dashboard using Power BI. The project involved:

  • Extracting and transforming sales data.
  • Building interactive visualizations to forecast sales trends.
  • Automating data refresh and sharing the dashboard with stakeholders.
  • Link to Project

    Feel free to replace the placeholders with your own information and add links to your actual projects. This .mdx file is ready for use on your personal website to showcase your experience and projects as a data scientist.