I am a passionate data science enthusiast and a fresher in the field, eager to apply my knowledge and skills to real-world projects. With a strong foundation in data analysis, machine learning, and natural language processing (NLP), I am excited about the possibilities that data science offers in solving complex problems.

My technical skills include Python, SQL, statistical analysis, machine learning, NLP, and data visualization. I have gained hands-on experience in various projects, some of which are highlighted below:

  1. BERT-Based Sentiment Analysis of Online Class App Feedback

    • Developed a deep learning model for sentiment analysis of online class app feedback using BERT.
    • Achieved 84% accuracy by focusing on high precision for positive sentiments and high recall for negative sentiments.

  2. Crab Age Prediction

    • Developed a machine learning model to predict the age of crabs based on physical characteristics.
    • Achieved an R-squared value of 0.59 using the random forest regression algorithm.

  3. Delivery Cost Analysis & Billing Discrepancy Detection

    • Built a Python-based system for analyzing delivery costs and detecting billing discrepancies in e-commerce companies.
    • Utilized Pandas and Numpy for data cleaning and analysis, resulting in reduced operational costs.

Skills: Python | SQL | Machine Learning | Deep Learning | Data Visualization | Natural Language Processing

Contributions:

  • Authored a blog on handling missing values in Medium, providing insights and practical solutions.
  • Engaged in knowledge sharing and problem-solving on Stack Overflow, providing assistance to fellow developers in the data science and machine learning community.

I’m always open to interesting conversations and collaboration. Feel free to reach out to me via email or LinkedIn to connect and discuss exciting projects or research ideas.

Email: aravinthmegnath@gmail.com