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Amol Dixit's Projects

banking_clv_crm icon banking_clv_crm

Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer profitability is expected, along with a theoretical rational for these hypotheses and test the hypotheses. Multiple independent variables very tried to come up with some meaningful conclusions.

datacopy icon datacopy

VBA-datacopy from one excel sheet to another - (On the first empty row)

insurancesalepredictor icon insurancesalepredictor

The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

searchrelevance_ecommerce_google_amazon icon searchrelevance_ecommerce_google_amazon

The study shows the relevance of searches in the eCommerce arena for Google and Amazon both - by looking at search results. The study is not generic in nature and is directed towards two digital marketing consultancies in Surrey, England. The VBA code is added as .bas (can be accessed through notepad).

studentretention_predictivemodel icon studentretention_predictivemodel

Project to predict retention of students in a study program up-to and beyond semester 6 based on scores, socio-economic & demography factors (like debt, gender, religion and race), transferred credits, family fee contributions, academic background, phone and email habits.

supplychainanalytics_operationsresearch icon supplychainanalytics_operationsresearch

A supply chain analytics project to optimise the transportation of perishable raw materials from production facilities in mainland Europe to processing plants in the UK, and thereafter to storage and distribution centres across UK.

telecom_customer_churn_analysis icon telecom_customer_churn_analysis

Customer Churn project for a telecom firm. The project aims to predict the possibility of a customer to churn by using methods of Data Analysis and Machine Learning with sound accuracy and justifies its result by showing the expected cost-benefit from following their recommendations.

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