Welcome to my data portfolio! Here, I document a summary of my projects in the data field.
| Project Link | Area of Analysis | Project Description |
|---|---|---|
| 🚗 Scale Model Cars Database Analysis | Database analysis, Sales Analysis | Analysed sales records from a scale model car business and propose recommendations to optimize inventory, fortify customer loyalty and improve marketing. |
| 👩🏻⚕️ Health Analytics Case Study | Health analysis | Conducted business inquiries about patient data, including user averages, active user measurements, and median blood pressure values. |
| Project Link | Area | Project Description | Libraries |
|---|---|---|---|
| 💲🔮 Used Car Price Prediction | Data Wrangling, Feature Engineering, EDA, Linear Regression | Analysed and developed a linear regression model for predicting used car prices. Produced recommendations for resellers to market cars based on engine size, car category, fuel type and mileage. | pandas, numpy, scipy, seaborn, statsmodels, sklearn |
| 🏃 Cardio Equipment Sales | EDA | Analysed CardioGood treadmill customer sales dataset to identify trends in customer demographics and relationships among income and usage | pandas, numpy, scipy, seaborn |
| 🛡️☔📋🏥💲 Insurance Business Statistics | EDA, Statistical Analysis | Analysed insurance data is to uncover relationships between policyholder demographics, risk factors, and incurred medical costs. | pandas, numpy, scipy, seaborn |
| 💳👥 Credit Card User Segmentation | Data Wrangling, Feature Engineering, EDA, Segmentation | Analysed and segmented credit card user data according to spending patterns and interactions with bank | pandas, numpy, scipy, seaborn, sklearn, yellowbrick |
| Project Link | Area | Project Description | Libraries |
|---|---|---|---|
| 👨💼👩💼👥Employee Attrition Prediction | EDA, Classification | Analysed employee survey data and developed an attrition prediction model | ggplot2, tidyverse |