Services

These are the areas where I can contribute effectively through my skills, experience, and research interests.

Building and training predictive models using ML/DL techniques (classification, clustering, recommendation systems).

Text summarization, sentiment analysis, hate speech detection, and keyword extraction for real-world datasets.

Cleaning, analyzing, and visualizing datasets to uncover insights using Python, Pandas, Matplotlib, PowerBI, and Seaborn.

Conducting literature reviews, experiments, and writing in AI/ML/NLP for academic publishing.

Developing user-friendly interfaces with Streamlit and deploying ML models for real-world usability.

Designing IoT-based solutions (e.g., sensor data fusion, real-time monitoring, and data-driven decision systems).