Exploring data, uncovering patterns, and building predictive models during my internship at Codveda Technologies.
| 👤 Intern | Balam Singh Rautela |
| 🏢 Company | Codveda Technologies |
| 🔬 Domain | Data Analytics |
| 🛠️ Stack | Excel & Power BI |
| ✅ Tasks Completed | 3 / 3 |
Dataset: Customer Purchase Data
Performed comprehensive data cleaning and exploratory analysis to prepare the dataset for downstream modeling tasks, identifying data quality issues and uncovering purchase patterns.
Datasets: Advertising Spend vs. Sales Revenue · Stock Price Data
Built regression models to quantify the relationship between advertising spend and sales. Additionally conducted a full time series analysis on stock price data — decomposing trends, detecting seasonality, and modeling underlying structure.
Dataset: Telecom customers
Developed a model to predict customer churn, applying feature selection, handling class imbalance, and comparing multiple classifiers to generate retention insights.
| Task | Description | Status |
|---|---|---|
| 01 | Data Cleaning & EDA — Customer Purchase Data | ✅ Complete |
| 02 | Regression & Time Series Analysis | ✅ Complete |
| 03 | Customer Churn Prediction | ✅ Complete |
Made with ❤️ by Balam Singh Rautela · Internship @ Codveda Technologies