Data Science & Business Analytics Internship
The Graduate Rotational Internship Program (GRIP) by The Sparks Foundation is a virtual internship designed to help students and young professionals gain hands-on experience in data science and business analytics.
As part of this internship, I completed a supervised machine learning project involving predictive modeling and regression analysis, which helped strengthen my understanding of end-to-end data workflows, from data preprocessing and visualization to model evaluation and interpretation.
This experience served as a practical extension of my data science learning journey, bridging academic concepts with real-world analytical problem-solving.
Category
Data Science
Issued By
The Sparks Foundation
Internship Duration
4 Weeks
Work Location
Remote (Singapore Based)
Internship Task
Prediction Using Supervised Machine Learning
The assigned task involved building a simple linear regression model to predict a student’s percentage score based on study hours.
This classic regression problem demonstrated the relationship between independent and dependent variables while providing insight into data correlation, model training, and performance evaluation.
Problem Statement:
Predict the percentage of a student based on the number of study hours.
(A simple linear regression task with two variables.)
Key Highlights:
Objective: Predict academic performance using linear regression analysis.
Tools & Libraries: Python, Pandas, NumPy, Matplotlib, Scikit-learn, Jupyter Notebook.
Techniques Used: Data cleaning, exploratory analysis, regression fitting, and visualization.
Outcome: Achieved an accurate regression model with clear correlation insight and predictive capability.
Key Learning Outcomes
Applied supervised machine learning concepts using real-world data.
Learned the process of data visualization, regression modeling, and prediction validation.
Gained exposure to the complete data science project lifecycle.
Improved skills in using Python’s analytical libraries and Jupyter environment.
Project Details
LinkedIn Post
Conclusion
The Data Science and Business Analytics Internship at The Sparks Foundation provided valuable industry exposure in data-driven decision-making.
By completing this project, I enhanced my ability to translate data into insights, a foundation I continue to build on in advanced analytics, audit automation, and cybersecurity reporting.