Mounika Bandla's repositories
ABC-Call-Volume-Trend-Analysis
In this project, we delve into the realm of Customer Experience (CX) analytics, focusing specifically on the inbound calling team of a company named ABC, operating in the insurance sector.
Analyzing-the-Impact-of-Car-Features-on-Price-and-Profitability
In this project, I am tasked with creating an interactive dashboard in Tableau to help a car manufacturer optimize pricing and product development decisions to maximize profitability while meeting consumer demand.
Bank-Loan-Casestudy
This project aims to leverage EDA techniques to analyze loan application data and identify predictors of loan default. By systematically exploring missing data, outliers, imbalance, and relationships between variables, the analysis aims to uncover insights into default risk.
Hiring-Process-Analytics
The ultimate goal is to provide Google's hiring department with actionable insights to enhance decision-making, streamline recruitment processes, and foster a diverse and inclusive work environment. Through thorough data analysis and visualization, this project aims to drive improvements in the company's hiring practices and support strategic work
IMBD-Movie-Analysis
This project aims to analyze the provided IMDB movie dataset to uncover factors influencing movie success. Beginning with data cleaning and manipulation to handle missing values, duplicates, and feature engineering if necessary, the analysis progresses through various tasks.
Instagram-User-Analytics.github.io
As a data analyst collaborating with Instagram's product team, the objective is to delve into user interactions and engagement on the platform. This endeavor aims to extract actionable insights pivotal for enhancing user experience, guiding product development, and informing marketing strategies.
Operational-Analytics-and-Investigating-Metric-Spike
Operational analytics involves analyzing a company's end-to-end operations for identifying areas for improvement within the company. Key aspects of operational analytics is investing metric spikes which involves understanding and explaining sudden changes in the key metrics. Advanced SQL is used for this analysis.