Season Subedi

Analytical Data enthusiast with hands-on experience in building predictive models, extracting insights from complex datasets, and delivering data-driven solutions. Proficient in Python, SQL, and machine learning techniques, with strong skills in data visualization and communication. Proven ability to collaborate with cross-functional teams to drive business impact through data.

1.Disease Prediction using symptoms Using Django and Machine Learning

Developed a Disease Prediction web app using Django and machine learning that analyzes user-entered symptoms to predict possible diseases. Integrated an intuitive interface for fast, accurate, and accessible health insights.

2. Customer Segmentation Analysis using RFM model

Performed customer segmentation using the RFM (Recency, Frequency, Monetary) model to identify key customer groups based on purchasing behavior. Applied data preprocessing and scoring techniques to classify customers into segments like loyal, at-risk, and new. Enabled targeted marketing strategies to improve customer retention and engagement.

3.Data Cleaning and Preprocessing for Customer Data
Cleaned and prepared a messy customer dataset by handling missing values, fixing data types, removing duplicates, and standardizing formats. Improved data quality for accurate analysis and machine learning model performance.

Introduction to Programming (Kaggle ) - February 2024

Data Cleaning (Kaggle) - January 2024

Intro to Programming with Python(Edx) - 2025

Python with Data Science Training at Mindrisers Institute of Technology - March 2024