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Hi, I'm Rahan Reza! 👋

About Me

I am a current intern at Stack Technology Center in Kasaragod, with previous experience as a Quality Documentation Specialist in a US company. I have a background in MLT and higher secondary education. Proficient in Python, Java, C, C++, SQL, and skilled in data handling, visualization, and business intelligence tools. Experienced in database models like MySQL and One Lake. Passionate about data science, I've worked on projects including a Bank Account Management System, IPL Data Analysis, and a Real-World Q&A System for E-Learning. Certified in Data Science from Stack Technology Center, Kerala, India, and Dubai certified by KHDA.

🛠 Skills

  1. Programming Language : Python, Java, C++, SQL
  2. Data Handling : Pandas, NumPy, Tensor
  3. Data Visualizing : Matplotlib, Seaborn
  4. Business Intelligent : Power bi, MS Excel
  5. Service : Power bi service, Microsoft Fabric
  6. Data Base Model : MYSQL, One lake
  7. Source control : GitHu

🔗 Links

portfolio linkedin twitter

rahan-reza's Projects

end-to-end-large-language-model-for-t-shirt-selling-store- icon end-to-end-large-language-model-for-t-shirt-selling-store-

Developed a comprehensive end-to-end large language model project for a retail domain, specifically focusing on a T-shirt selling store. The project incorporated advanced natural language processing (NLP) techniques, SQL database integration, and a user-friendly Stream lit UI.

fraud-detection-system-for-e-commerce icon fraud-detection-system-for-e-commerce

Fraud Detection for E-commerce: Employing Python, ML, NLP, and Power BI, create an end-to-end analytics system. Analyze transactions to prevent fraud, utilizing cloud computing for scalability. Deploy a robust solution for e-commerce security.

ipl-data-analysis- icon ipl-data-analysis-

Built a comprehensive Power BI project for visualizing and analyzing IPL players' performance over four years. Utilized data filtering to identify top players in categories like batsmen, bowlers, wicketkeepers, and all-rounders. Tracked Purple and Orange Cap recipients, offering insights.

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