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Sujay Puvvadi's Projects

chicagocrimeanalysis2019 icon chicagocrimeanalysis2019

In this project, I have extensively conducted a detailed analysis of the crimes that happened in 2019. I made use of attributes such as time, location, and many more. Subsequently, I have listed out relevant graphs from the data. Python, AWS EMR, S3 buckets, Apache PySpark, and Pandas have been used.

pre-owned-cars-price-estimation-and-analysis icon pre-owned-cars-price-estimation-and-analysis

This project provides the best possible price of a used car by taking attributes such as Manufactured Year, Number of Cylinders, Condition, and many more as inputs. Out of all models tested, the Random Forest model predicted the prices closest to the prices listed on Craigslist. Developed a web app using the Flask API for the deployment of this project.

web_traffic_forecasting icon web_traffic_forecasting

In this project, we performed an analysis of user patterns across the website and predicting the traffic of the webpage. This analysis would greatly help the hosts of the website to maintain the servers. We used many algorithms in order to analyze web traffic, which include ARIMA, STLM, BATS, Linear Regression, TBATS, out of which TBATs had performed the best.

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