Data Scientist

About me

I am a dedicated Data Scientist with a strong foundation in Python programming, SQL, and machine learning, built on over a decade of experience in education. Having transitioned from a role as an educator to data science, I excel in analyzing complex datasets, developing predictive models, and applying statistical insights to solve real-world problems.

My portfolio includes projects in customer segmentation, predictive modeling, and recommendation systems, using techniques such as regression, classification, A/B testing, and collaborative filtering. I have worked on diverse datasets including Amazon, IMDB, and online retail, and am passionate about transforming data into actionable insights that drive business decisions.

With a proven ability to communicate complex data insights clearly, I aim to bridge the gap between technical analysis and business solutions. I thrive in environments that value creativity, collaboration, and continuous learning, and I am eager to contribute my skills to projects that make a meaningful impact.

Projects

1. Rule Based Persona Classification

2. Customer Segmentation with RFM with FLO Dataset

3. Customer Lifetime Value Prediction with FLO Dataset

4. Customer Segmentation with RFM with Online-Retail Dataset

5. Customer Lifetime Prediction with Online-Retail Dataset

6. ARL Recommender

7. Hybrid Recommender

8. Rating Product and Sorting Reviews with Amazon Dataset

9. A/B Testing

10. Customer Churn Feature Engineering

11. Diabetes Prediction with Machine Learning

12. Customer Churn Prediction with Machine Learning

13. House Price Prediction with Machine Learning

14. Customer Segmentation using Unsupervised Learning (K-Means, Hierarchical Cluster)

15. Scoutium Talent Classification with Machine Learning

Certificates

Miuul Data Scientist Bootcamp (Duration: 4 months):

• Python Programming for Data Science
• Introduction to Data Science and AI
• Feature Engineering
• Machine Learning
• Measurement Problems
• Recommendation Systems
• CRM Analytics
• Querying with MS SQL

Kaggle:

• Intro to Programming
• Intro to Machine Learning
• Intro to SQL
• Data Cleaning