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✨ Hello There, I am Chetan M N!

I am a Data Scientist🚀

I am currently in my 5 semester!

About Me

I am a passionate and dedicated Data Scientist with a strong background in machine learning, data analysis, and data-driven decision-making. My journey in the world of data science began several years ago, and I have since had the privilege of working on various exciting projects.

I am enthusiastic about exploring and understanding complex data, building predictive models, and deriving valuable insights to help businesses make informed decisions.

Experience

Data Scientist - XYZ Company

  • Led a team of data analysts in developing predictive models for demand forecasting, resulting in a 15% improvement in inventory management.

  • Collaborated with the marketing team to create personalized recommendation systems, leading to a 20% increase in user engagement.

  • Conducted exploratory data analysis to uncover hidden trends and insights, which guided strategic decision-making.

  • Data Analyst Intern - ABC Corporation

  • Assisted in data collection, cleaning, and preparation for analysis.

  • Built dashboards using tools like Tableau to visualize data and present findings to stakeholders.

  • Conducted statistical analysis and created reports to inform business strategies.

  • Projects

    Customer Churn Prediction

  • Developed a machine learning model to predict customer churn, reducing customer attrition by 10% through targeted retention strategies.

  • Utilized Python, scikit-learn, and pandas for data preprocessing, model building, and evaluation.

  • Stock Price Forecasting

  • Built a time series forecasting model to predict stock prices, achieving a Mean Absolute Error (MAE) of less than 5%.

  • Used historical stock price data and various machine learning techniques, including LSTM and ARIMA.

  • Natural Language Processing (NLP) for Sentiment Analysis

  • Implemented an NLP model to analyze sentiment in social media data, providing insights for brand reputation management.

  • Leveraged libraries such as NLTK and spaCy for text preprocessing and sentiment analysis.

  • Feel free to reach out to me if you have any questions or would like to collaborate on a data science project. I am always eager to explore new challenges and opportunities in the world of data science!