Exploring data, uncovering patterns, and building predictive models during my internship at Codveda Technologies.

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.

Made with ❤️ by Balam Singh Rautela · Internship @ Codveda Technologies