Sri Lakshmi Mallipudi

This repository contains a Monte Carlo simulation and risk analysis model developed to analyze customer spending and daily revenue fluctuations for a grocery store across four product categories: fresh baked goods, meat and dairy, produce, and frozen food.

This project aims to develop a predictive model determining the type of healthcare service (Inpatient/Outpatient/Emergency) needed based on patient characteristics.

This repository analyzes the performance of three potential stocks (Apple, Intel Corp, and Kroger) for investment portfolio diversification.

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.

This study employs Logistic and Probit regression analysis to investigate the relationship between race/ethnicity and mortgage approval rates.

This repository contains a comprehensive analysis of the gender wage gap in the District of Columbia, focusing on the impact of gender and educational attainment on person earnings.

This project analyzes the impact of including funded aid offers in admission letters on acceptance rates at Seattle University.

This project implements a movie recommendation service with Apache Spark using collaborative filtering.

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.

This repository contains a collection of diverse Python projects implemented in Jupyter Notebook, covering a range of practical applications.

This project centers on the development of a predictive model aimed at optimizing order fulfillment processes by proactively identifying inventory items at risk of depletion.

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.

This comprehensive analysis delves into the crucial role of cash holdings in determining a firm's future performance and market dynamics.

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.

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.

This repository features the implementation of a regression model tailored for predicting salaries of sales representatives within the software and hardware industries.

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.