AI ENGINEERING
Data Science student specializing in Machine Learning, AI, and Natural Language Processing. Focused on building practical ML workflows, data-driven applications, and clean analytical pipelines. Active learner through Google, IBM, Coursera, NVIDIA Developer Programs, and IEEE communities.
- Prompt engineering -Google&IBM
- Natural Language Processing – Text processing and embeddings
- Python Development – Clean, scalable code
- Machine Learning & Predictive Modeling – End-to-end ML pipeline development
- Applied Data Science & Feature Engineering – Data preprocessing and optimization
- Data Visualization & Applications – Streamlit dashboards and interactive tools
End-to-end machine learning workflow for stock trend prediction using time-series analysis and predictive models
Documentation and implementation of innovative solutions developed during the Smart India Hackathon competition.
| Category | Technologies |
|---|---|
| Programming | Python |
| ML/Data Stack | Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn |
| AI & NLP | Text Processing, Embeddings, LLM Experimentation , AI prompting |
| Tools & Platforms | Git, GitHub, Jupyter, Streamlit, Google Colab |
| Communities | IEEE, NVIDIA Developer Program |
- LinkedIn: linkedin.com/in/LA4
- GitHub: github.com/LIKHITHADITHYA
Last updated: December 2025