ArpitaShrivas001
MS in Business Analytics specialization in Big Data | University of Massachusetts Boston | Software engineer at Cognizant | Data Science enthusiast
Pinned Repositories
Airbnb_Customer_Feedback_Sentiment_Analysis
Performed PySpark based text pre-processing including lemmatization, POS tagging and UDF functions on customer feedback. Computed and visualized sentiment score to identify areas of improvements.
Bank_Subscription_Model
Determined bank customer’s subscription credibility by training ML model, achieving an accuracy of 88%. Visualized model predictions against past data to facilitate data-driven decision-making.
Business_Intelligence_Customer_Insights_Tableau
Utilized Tableau to understand customer demographics in a grocery store
Credit_Balance_Analysis
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
Customer_Purchase_Behavior
Predictive modeling to predict Spending & Purchase using decision tree and regression modelling
Preowned-Car-Price-Forecast-
Used Selenium to extract data from Cargurus.com and designed SQL queries for data cleaning. Utilized python for regression modelling, visualization and descriptive statistics to analyze used car prices in the US.
ArpitaShrivas001's Repositories
ArpitaShrivas001/Airbnb_Customer_Feedback_Sentiment_Analysis
Performed PySpark based text pre-processing including lemmatization, POS tagging and UDF functions on customer feedback. Computed and visualized sentiment score to identify areas of improvements.
ArpitaShrivas001/Bank_Subscription_Model
Determined bank customer’s subscription credibility by training ML model, achieving an accuracy of 88%. Visualized model predictions against past data to facilitate data-driven decision-making.
ArpitaShrivas001/Business_Intelligence_Customer_Insights_Tableau
Utilized Tableau to understand customer demographics in a grocery store
ArpitaShrivas001/Credit_Balance_Analysis
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
ArpitaShrivas001/Customer_Purchase_Behavior
Predictive modeling to predict Spending & Purchase using decision tree and regression modelling
ArpitaShrivas001/Preowned-Car-Price-Forecast-
Used Selenium to extract data from Cargurus.com and designed SQL queries for data cleaning. Utilized python for regression modelling, visualization and descriptive statistics to analyze used car prices in the US.