I'm Prabhas currently training in Data Science with Python at Broadway Infosys. I clean messy datasets, explore patterns, build models, and communicate insights that people can act on.
I'm a data-driven problem solver making the shift from building interfaces to building insight. My curiosity for how things work now points at datasets: finding the signal in the noise, testing assumptions, and letting the numbers tell the story.
Through my Data Science with Python training at Broadway Infosys, I work hands-on with real data from cleaning and exploratory analysis to machine-learning models and clear visual reporting.
Where creativity, code, and statistics come together to turn data into something useful.
Cleaning, transforming, and exploring datasets with Pandas and NumPy to surface trends before any modeling begins.
Learn more →Building and evaluating regression and classification models with Scikit-learn, from train/test splits to metrics.
Learn more →Designing clear, honest charts and dashboards with Matplotlib and Seaborn so insights are easy to act on.
Learn more →A selection of data projects from exploratory analysis to predictive models.
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Cleaned and analyzed a retail sales dataset to uncover seasonal trends and top-performing categories.
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Trained a classification model to predict which customers are likely to leave, using Scikit-learn.
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Built an interactive-style notebook dashboard summarizing key metrics with Seaborn visualizations.