Jin's Data Science Portfolio!

Welcome to my GitHub portfolio! I am a passionate and dedicated data enthusiast with a strong background in Data Science. My journey in the world of technology and data-driven solutions has led me to work on various projects that showcase my skills and expertise.

Summary

🔭 Hi, I'm Jin, and I'm a proud graduate with a Distinction degree in Master of Data Science from Durham University. I'm a versatile professional, combining the roles of a data analyst, data scientist, and recently, I've ventured into the exciting world of data engineering. My passion lies in harnessing the transformative power of data to uncover actionable insights!

🚀 Within this portfolio, you'll discover a collection of comprehensive end-to-end data science projects that showcase my dedication to mastering this dynamic field. I'm committed to a lifelong journey of expanding my skills and knowledge in Data Science, always staying at the forefront of emerging technologies and trends. 😎

Data Science Projects

1. Project 1 - Insurance Claim Prediction

   • A random forest model to predict whether the policyholder files a claim in the next 6 months.
   • Frameworks/Tech Stack:
     • Python
     • Scikit-Learn
     • Pandas

2. Project 2 - K-means Clustering for customer segmentation

   • A K-Means Clustering model to segment customers into 5 distinct groups for a retailer
   • Frameworks/Tech Stack:
     • Python
     • Scikit-Learn
     • Pandas
     • matplotlib

3. Project 3 - XGBoost Customer Churn Prediction

   • An XGBoost classifier to predict customer churn rates
   • Frameworks/Tech Stack:
     • Python
     • jupyter notebook
     • Scikit-Learn
     • Pandas
     • seaborn

4. Project 3 - 1D-CNN Pytorch timer series classifier

   • A timer series classifier can automate detection and classify seismic waves in real-time
   • Frameworks/Tech Stack:
     • Python
     • jupyter notebook
     • Scikit-Learn
     • Pandas
     • Pytorch

Data Analytics Projects

1. Project 1 - EDA wholesale data

   • An Exploratory Data Analysis on customers from a Wholesale Distributor
   • Frameworks/Tech Stack:
     • R

2. Project 2 - Customer shopping dashboards

   • A Power BI dashboard to monitor customer shopping status
   • Frameworks/Tech Stack:
     • Power BI
     • Power Query

Data Engineering Projects

1. Project 1 - Azure End-to-End Data-Engineering Project
   • An end-to-end data engineering project
   • Frameworks/Tech Stack:
     • Azure Data Factory
     • Azure Synapse studio
     • SQL
     • Apache Spark
     • Databricks
     • Lakehouse

Skills

My skill set includes proficiency in the following major frameworks and libraries:

• Data Analytics
• Machine Learning
• Deep Learning

Tech stack

My skill set includes proficiency in the following major frameworks and libraries:

• Python
• SQL
• Azure
• R
• Scikit-Learn
• PyTorch
• NumPy
• Pandas
• SciPy
• Cloud Computing

Contact Information

Feel free to reach out to me through the following channels:

• 📮 [[email protected]]
• 🔗 LinkedIn