Computer Engineer | Machine Learning & AI Student | AI Enthusiast
I am a Computer Engineer transitioning into the world of Data Science, Machine Learning, and Artificial Intelligence. My background in engineering gives me a solid foundation in problem solving and systems architecture, which I now apply to building intelligent, data driven solutions.
- Consumer Behavior Analysis – EDA project identifying key drivers for coupon acceptance and translating them into actionable business insights.
- Data Science & EDA: Analyzing complex datasets to extract actionable business insights.
- AI & LLM Applications: Building tools that leverage Large Language Models for automated analysis and intelligent interactions, including:
- Using LLMs to analyze financial statements and unstructured text
- Small automation tools to speed up analysis workflows
- Full‑Stack Development: Experience with React, React Native, Java, Spring Boot, Python, and modern web technologies.
- Machine learning and applied statistics
- Data cleaning, feature engineering, and model evaluation
- Financial data analysis and algorithmic decision-making
- LLMs, RAG systems, and practical AI applications
- Comfortable working in Agile/Scrum teams with sprints, standups, and iterative delivery.
- Used to code reviews, version control best practices, and continuous learning.
| Category | Technologies |
|---|---|
| Languages | Python, JavaScript, SQL, Java |
| Data Science | pandas, NumPy, scikit-learn, Matplotlib, Seaborn |
| AI / LLMs | OpenAI API, LangChain, prompt engineering |
| Frameworks | Spring Boot, Node.js, React, React Native |
| Tools | Jupyter, Streamlit, Jenkins, Conda |
“Turning raw data into intelligent stories.”