python – nug ian

KPMG Australia: Bike Store Customers Prioritization

This project was completed as part of the KPMG Australia job simulation on The Forage platform. A fictional bike and cycling accessories store sought assistance in optimizing their marketing strategy by identifying which new customers should be prioritized for outreach. To achieve this, I worked with datasets containing demographic and transaction history for existing customers, as well as demographic data for new customers.

Accenture: Social Media Views Analysis

This project was completed as part of the Accenture job simulation on The Forage platform. A fictional social media platform sought assistance in gaining insights from their content data. The provided dataset included details such as content categories, content types, and user sentiments. I conducted the analysis using Python, along with libraries like Pandas, Seaborn, and Matplotlib.

BCG: Telco Customer Retention Analysis

During the Boston Consulting Group (BCG) job simulation on The Forage platform, I worked on a project for a fictional energy services provider seeking recommendations to improve customer retention. To support their efforts, I analyzed customer data and built predictive models using the provided information. The dataset included historical energy pricing and customer subscription details.

JP Morgan Chase: Loan Default Prediction

This project was completed as part of the JP Morgan Chase job simulation on The Forage platform. In this case, a bank client tasked me with building a model to predict the probability of loan defaults based on customer characteristics such as income, loan amount, and years of employment. I conducted a thorough analysis of the provided customer dataset and then developed a predictive model.

JP Morgan Chase: Natural Gas Price Forecast

This project was completed as part of the JP Morgan Chase job simulation on The Forage platform. A fictional commodities trading company approached us seeking to capitalize on natural gas price fluctuations to maximize profits. I was tasked with developing a price forecasting model using four years of historical data.