I am a motivated Data Analyst, Machine Learning Engineer, and Data Scientist with a strong foundation in programming, data science, and applied machine learning. Having recently completed my Diploma in Data Science and Programming, I am now seeking internship opportunities to apply my skills in real-world projects. My expertise lies in Python, SQL, and PostgreSQL, with hands-on experience in machine learning, deep learning, NLP, and data visualization using libraries such as scikit-learn, pandas, matplotlib, and seaborn. I also bring practical knowledge of tools and technologies including Power BI, Swagger, Postman, Docker, and DVC.

🌱 Currently learning: MLOps, advanced deep learning techniques, and software testing to strengthen my end-to-end ML deployment skills.
🔭 Current projects:

• Developing an automation agent (AutoLLMAgent) to integrate LLMs into CI pipelines for task automation.

• Building an end-to-end flood prediction model.

• Experimenting with quantitative stock analysis and live trading bots.

  
  

👯 Looking to collaborate on: Machine learning research, RAG agent development, and projects at the intersection of finance, ML, and data science.
💬 Ask me about: Programming, statistics, design thinking, and data analysis strategies.
⚡ Fun fact: When I’m not building ML models, I enjoy exercising, playing badminton, and exploring PC games.