Dhruva Sharma

Built a crop-level database and fine-tuned multiple forecasting models to estimate area, production, and yield, enabling identification of supply gaps and presenting results via an interactive dashboard.

Performed data preprocessing, analysis, and built dashboards using Power BI and Tableau to derive business insights from sample datasets during a summer internship.

Executed data preprocessing and visualization pipelines using Python libraries and AI tools to produce clear visual narratives for sample datasets.

Predicted carbon emissions using scikit-learn models with preprocessing and descriptive analysis to support a project dissertation on environmental impact forecasting.

Developed a multi-agent automated crypto backtesting engine with Streamlit UI and web3.py; benchmarked AR, ARIMA, IMA models and achieved best validation RMSE% = 0.26% (AR).

Implemented a Python GUI using Tkinter and OpenCV to streamline interactive image annotation and dataset creation for computer vision projects.

Built a Streamlit-based text summarization app combining TF-IDF, GloVe, and transformer models to produce concise summaries from uploaded documents instantly.

Grade: CGPA: 7.6

Pursuing a Minor in Artificial Intelligence during 2024–25 with coursework in AI-related topics; current CGPA reported as 7.6.

Grade: CGPA: 8.5

Bachelor of Technology in Artificial Intelligence and Data Science with a CGPA of 8.5, covering data science, machine learning, NLP, computer vision, and big data analytics.