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Sri Lakshmi Mallipudi's Projects

amazon-tech-products-sales-analysis-2019 icon amazon-tech-products-sales-analysis-2019

This repository contains insightful visualizations and analyses derived from Amazon's sales data of technology products in urban areas across the United States throughout the year 2019.

analysis-of-sales-representative-salaries-in-software-industry-by-personality-types icon analysis-of-sales-representative-salaries-in-software-industry-by-personality-types

This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.

analyzing-amazon-s-revenue-exploring-forecasting-models icon analyzing-amazon-s-revenue-exploring-forecasting-models

This repository presents a comprehensive analysis of Amazon's revenue forecasting for the fiscal year 2021, analyzing historical revenue data from 2010 to 2020 and identifying the most suitable forecasting model that accurately predicts Amazon's revenue trends considering trend and seasonality.

harmon-foods-forecasting-model icon harmon-foods-forecasting-model

Developed a linear regression model to forecast case shipments considering various predictor variables such as time trends (month), seasonality (seasonal index), and promotions. Conducted Durbin Watson test and generated a forecast and prediction interval.

house-price-prediction-using-decision-tree-ml-algorithm icon house-price-prediction-using-decision-tree-ml-algorithm

This repository contains a Decision Tree Regression model developed to predict house sale prices based on various predictor variables, aiming to provide accurate predictions and insights into regional differences in real estate values.

springbank-drive-property-compensation-analysis icon springbank-drive-property-compensation-analysis

This repository focuses on development of a Multiple Regression model to estimate the loss of property market value and determine the adequate compensation payable to the owners resulting from the proposed road widening project along Springbank Drive in London, Ontario.

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