šThis repository contains a collection of Python projects showcasing my skills as a data analyst.
Key Features:
- Data Cleaning and Preprocessing: Techniques to handle missing values, outliers, and data transformation.
- Exploratory Data Analysis (EDA): Identifying patterns, correlations, and insights through visualizations and summary statistics.
- Data Visualization: Creating informative and interactive plots using libraries like Matplotlib, Seaborn, and Plotly.
- Statistical Analysis: Hypothesis testing, confidence intervals, and regression analysis to draw meaningful conclusions.
- Machine Learning: Implementing predictive models using scikit-learn, including linear regression, classification, and clustering.
| Project | Description |
|---|---|
| DOHMH Dog Bite Analysis | Comprehensive exploratory analysis of dog bite data from NYC area from 2015-2021 |
| Business Analytics | Optimize marketing expenses through data and cohort analysis along with data visualization |
| AB_Analysis | Assist Marketing Team in determining which group plan will boost revenue |