Dhruvi Soni

I have a passion of turning data into actionable insights. I started my journey with a bachelor's degree in commerce, where i gained a strong foundation in Accounting. Certified by the Boston Institution Of Analytics in Diploma in Data Science and business Analytics.

I am seeking to work in a progressive environment where i have the opportunity to showcase my skills in professional analytical tools, statistics and interact with diverse individuals at all organization level.

The project involves bank customer segmentation using machine learning. Here’s a brief summary:
Project Overview
- Objective: Segment bank customers into smaller, similar groups to enhance marketing strategies.
- Dataset: Includes over 1 million transactions from 800,000 Indian bank users with details like age, location, gender, account balance, and transaction specifics.
Methodology
1. Import Libraries: Utilizing Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
2. Data Preparation:
  - Load and clean the dataset.
  - Preprocess data by checking shape, info, and missing values.
3. Data Analysis:
  - Explore and visualize data.
4. Clustering:
  - Implement K-means clustering algorithm.
  - Use the elbow method to determine the optimal number of clusters (K=5).
  - Train and fit the K-means model.
5. Results:
  - Visualize customer segments.
  - Highlight the utility of K-means for customer segmentation to improve revenue.

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