Simon Dsilva

Seeking an entry-level position as Data analyst, utilizing my skills and learnings in data analysis, programming, and problem-solving. I will be thrilled to accept the opportunities to apply the skills in data visualization. Proficient in programming languages such as Python, R and Machine Learning. Possess strong attention to details and ability to work collaboratively with company and in team settings.

 CAPSTONE Project

Technique: Classification model with cross-validation using iris flower dataset. 

Results: Predicted the species of iris base model using iris flower dataset method to check if the model is right fit, overfitting or underfitting. 

CLUSTERING 

Technique : Used the Mall customer segmentation dataset and applied K-Means clustering method to segregate the customers on their spending behavior and annual income. 

Results: Implemented K-Means clustering method algorithm and determined the optimal number of clusters using elbow techniques. Finally, analyzed and interpreted the characteristics of each clusters for targeting the marketing strategies.

Self Initiated Project