01
Market Analysis - Customer Segmentation
This project explores customer segmentation using marketing data. The goal is to identify distinct customer groups based on their behavior and spending patterns to support data-driven marketing strategies. Using machine learning, we segment customers for better targeting and personalization.
02
Breast Cancer Detection using Logistic Regression
This project detects breast cancer using the Breast Cancer Wisconsin dataset from scikit-learn. It applies a logistic regression model with proper preprocessing, visualizations, and evaluation metrics.
03
Housing Price Prediction using Linear Regression
This project demonstrates a machine learning approach to predict housing prices based on several independent variables using Linear Regression.
My
Projects
Data Science Meets Purpose
Safal Swayam is a data-driven AI enthusiast and analyst with a strong foundation in machine learning, deep learning, and data visualization. With hands-on experience in Python, Power BI, and explainable AI, I specialize in transforming complex data into actionable insights across industries. I build intelligent solutions—from fake news detection to medical diagnostics—with precision and purpose.
We specialize in data science, machine learning, and AI-powered applications.
Proven Results
Open source Projects
13
Exploratory Data Analysis Projects
4
Data Visualization Projects
3
Machine Learning Projects
6
Testimonials
Discover what collaborators and clients say about my work in AI, Machine Learning, and Data Analytics. Their words reflect the quality, dedication, and innovation I bring to every project.
01
Sumit Kumar Tetarave
ML Researcher at KIIT
“Working with Safal on the tumor segmentation project was eye-opening. His understanding of neural networks and image processing is top-tier.”
02
Dr Rabindra K. Barik
Data Base Researcher
"Jay's strategic approach and deep understanding of digital marketing transformed our online presence."