Machine Learning

Project Objective:

August 2023

In this comprehensive project, I played a key role in improving data quality by employing advanced data wrangling and cleaning techniques, utilizing packages like NumPy and Pandas to ensure the integrity of the dataset.

As part of the project's predictive analytics component, I built a robust Classification Machine Learning Model, specifically Logistic Regression using Scikit-learn, achieving an impressive 61% efficiency in evaluating model performance.

To visually communicate complex bank marketing trends identified during the Exploratory Data Analysis (EDA) process, I crafted meaningful visualizations using Matplotlib and Pandas.

Additionally, I took charge of managing integrations between disparate datasets and reporting tools, including Python and Power BI, facilitating seamless data flow and accessibility.

As a final outcome, I developed an interactive Power BI dashboard that provided a comprehensive analysis of bank sales, offering stakeholders an intuitive and actionable interface for decision-making."

Business Opportunities:

Financial Advisory and Education for Seniors: Given that the top 15 ages with the highest balance were above 60, there's an opportunity to establish a business focused on providing financial advisory and education services specifically tailored to seniors. This could include retirement planning, investment guidance, and workshops on financial literacy aimed at helping older individuals manage and grow their wealth.

Premium Subscriptions Management Services: With 521 customers being subscribed, and subscribed customers predominantly holding management positions and being within their 30s, there's a business opportunity in offering premium subscriptions management services. This could involve developing a platform.

Key Skills:

Data Wrangling and Cleaning
NumPy and Pandas for Data Processing
Classification Machine Learning (Logistic Regression)
Scikit-learn for Model Development
Model Evaluation and Efficiency Analysis (72% efficiency)
Exploratory Data Analysis (EDA)
Matplotlib and Pandas for Data Visualization
Integration Management Between Datasets
Reporting Tools: Python and Power BI
Interactive Power BI Dashboard Development
Predictive Analytics
Stakeholder Communication and Presentation