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nnaemeka's Projects

batchprocessing-with-spark icon batchprocessing-with-spark

Generate and upload data to HDFS/S3 in a file directory. Then aggregate daily global stock in different DB, providing ability to Browse data available.

cloud_analytics_tableau- icon cloud_analytics_tableau-

Create Cloud relational database and assigned security group with filtered inbound traffic then allowing the Visualisation tool(Tableau) connect seamlessly.

clv_analysis icon clv_analysis

Analysis of customer lifetime value using three different method.

customer_churn-prediction icon customer_churn-prediction

## Data Dictionary There are multiple variables in the dataset which can be cleanly divided in 3 categories: ### Demographic information about customers <b>customer_id</b> - Customer id <b>vintage</b> - Vintage of the customer with the bank in number of days <b>age</b> - Age of customer <b>gender</b> - Gender of customer <b>dependents</b> - Number of dependents <b>occupation</b> - Occupation of the customer <b>city</b> - City of customer (anonymised) ### Customer Bank Relationship <b>customer_nw_category</b> - Net worth of customer (3:Low 2:Medium 1:High) <b>branch_code</b> - Branch Code for customer account <b>days_since_last_transaction</b> - No of Days Since Last Credit in Last 1 year ### Transactional Information <b>current_balance</b> - Balance as of today <b>previous_month_end_balance</b> - End of Month Balance of previous month <b>average_monthly_balance_prevQ</b> - Average monthly balances (AMB) in Previous Quarter <b>average_monthly_balance_prevQ2</b> - Average monthly balances (AMB) in previous to previous quarter <b>current_month_credit</b> - Total Credit Amount current month <b>previous_month_credit</b> - Total Credit Amount previous month <b>current_month_debit</b> - Total Debit Amount current month <b>previous_month_debit</b> - Total Debit Amount previous month <b>current_month_balance</b> - Average Balance of current month <b>previous_month_balance</b> - Average Balance of previous month <b>churn</b> - Average balance of customer falls below minimum balance in the next quarter (1/0)

german_openshufa icon german_openshufa

The project shows the German openShufa data analysis using clustering in R.

market_performance icon market_performance

A-B testing for marketing campaign performance. Is there a lift, if so is the value statistically significant?

marketing_analytics icon marketing_analytics

In this project RFM will be used on the superstore data set from Tableau to explore the customer buying behaviour. the RFM(- Recency, Frequency and Monetary)value is used to get the customer ranking. An automated email will send to different categories of customer to revive an improve sales.

rfm-analysis-with-sql icon rfm-analysis-with-sql

Classify customers using their Recency value, frequency of purchase, and total monetary value of orders.

timeseries-forecasting icon timeseries-forecasting

As a requirement for investment, analysis is needed in a new form of transportation. They are considering making an investment in a new form of transportation - JetRail. JetRail uses Jet propulsion technology to run rails and move people at a high speed! While JetRail has mastered the technology and they hold the patent for their product, the investment would only make sense, if they can get more than 1 Million monthly users with in next 18 months. You need to help Unicorn ventures with the decision. They usually invest in B2C start-ups less than 4 years old looking for pre-series A funding. In order to help Unicorn Ventures in their decision, you need to forecast the traffic on JetRail for the next 7 months. You are provided with traffic data of JetRail since inception in the test file.

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