Thellagorla Ramgopi

Results-driven data analyst with experience at XYZ Corp, leveraging SQL and Python for impactful exploratory data analysis. Demonstrated creativity and collaboration in developing regression models that improved decision-making processes by 30%. Adept at utilizing tools like Tableau and Scikit Learn to deliver actionable insights and enhance team performance.

Introduction to Artificial Intelligence by Great Learning

MINOR PROJECT: Prediction of Network Attacks Using Supervised Machine Learning Technique, It has proposed an approach to develop efficient IDS by using the principal component analysis (PCA) and the random forest classification algorithm. Where the PCA will help to organize the dataset by reducing the dimensionality of the dataset and the random forest will help in classification., MACHINE LEARNING WITH PYTHON MAJOR PROJECT: Fake News Detection, It is important to know whether the news we listened is true of false. So, we have built a machine to tell it. We help the machine by feeding previous knowledge regarding that topic.

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