Projects

Customer Segmentation Analysis

Comprehensive customer segmentation analysis using machine learning clustering techniques to identify high-value and low-value customer groups.

Tools: Python, Pandas, Sklearn, Matplotlib, K-Means

Skills: Data Preprocessing, Data Visualization, EDA, Data Manipulation, Storytelling, Business Analysis

A/B and Hypothesis Testing for Marketing Campaign Analysis

I analyzed the effectiveness of two marketing campaigns using A/B testing to determine the most cost-efficient strategy. One campaign was a $50,000 test while the other was a $30,000 control, and I applied hypothesis testing to compare key metrics like user reach, conversion rates, and ROI.

Tools: Python, Pandas, Scipy.Stats, Matplotlib, Seaborn

Skills: A/B Testing, Hypothesis Testing, Storytelling, Data Analysis, Statistical Analysis, Business Analysis

Optimizing Diabetes Prediction through Feature Selection

I worked on a Diabetes Prediction model, where I applied advanced statistical methods and data analysis techniques to optimize the model's performance. The focus was on feature selection to reduce the complexity of the dataset and improve prediction accuracy.

Tools: Python, Pandas, Sklearn, Scipy.Stats, Matplotlib, Seaborn

Skills: Feature Selection, Data Preprocessing, Data Visualization, EDA, Data Manipulation, Storytelling, Business Analysis