AI/ML student driven by curiosity, practical learning, and a growing interest in building ML models based projects & automation-first solutions.
I enjoy turning concepts into working prototypes—whether it's machine learning pipelines, lightweight apps, or workflow automations.
- Build and experiment with machine learning models using Python and Scikit-Learn
- Explore automation with platforms like n8n, integrating APIs and orchestrating workflows
- Work with real-world datasets for analysis, modeling, and insights
- Develop small but impactful tools using Python, R, and web technologies
- Strengthening understanding of CNNs, Autoencoders, and Transformer architectures
- Learning to build practical AI features with Hugging Face and modern OpenAI APIs
- Improving end-to-end project skills: APIs, deployment basics, and automation flows
- Exploring speech-to-text, text-to-speech, and LLM integration through hands-on projects
- Experimenting with n8n to automate AI workflows and connect multiple services
- Python • NumPy • Pandas • Scikit-Learn • TensorFlow
- R (Data Analysis & Statistics)
- SQL (MySQL)
- HTML • CSS • JavaScript
- React (beginner/intermediate)
- n8n (beginner to intermediate workflow automation)
- REST APIs & integrations across multiple services
- STT/TTS basics through project-level experience
- Git & GitHub
- Streamlit
- Linux
- VS Code
- AI Job Recommender Capstone – Skills gap analysis + LLM-driven recommendations for projects
- House Price Prediction with Feature Engineering – ML pipeline + model comparison + feature interpretability
- AI Receptionist Prototype – Integrated STT, TTS, and LLMs to automate business calls (assessment project)
- Invoice Generator (RPA) – Automated PDF invoicing using Python (Local - Academic Project)
- Cybercrime Dataset Analysis (R) – Statistical modeling, probability distributions, and insights (Local - Academic Project)
- AI safety & cybersecurity checkpoints
- Practical, responsible AI deployment
- Data protection within the AI ecosystem
- Intersections of automation, ML, and business workflows
LinkedIn: https://linkedin.com/in/raniarti GitHub: https://github.com/raniartii Email: [email protected]