About Me
Data Analyst & Data Science Enthusiast
With expertise in data analysis, machine learning, and data visualization, I excel in uncovering insights from complex datasets. During my internship at 360 DigitMG, I developed a Random Forest classifier with 99% accuracy and created a Streamlit app for visualization. Proficient in Python, SQL, PowerBI, and Tableau, I handle large datasets, perform exploratory analysis, and build predictive models. My projects include machine downtime prediction, customer segmentation, sentiment analysis, and automated news classification.
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