Archana Guna

I am a Data Analyst and Data Scientist with a Master’s in Data Science and over three years of hands-on experience in analytical modeling, machine learning, deep learning, and Large Language Models (LLMs). I specialize in transforming raw data into actionable insights through data wrangling, exploratory data analysis, predictive modeling, and clear visualization.

My work includes leading a DRDO-funded explainable AI project on neck-direction prediction during head impacts, publishing in IEEE venues, and producing a predictive XGBoost model validated with Azure AutoML, H2O, and TPOT that achieved 98% accuracy. I routinely apply techniques such as SMOTE for class imbalance, LIME for explainability, and present results with Matplotlib, Seaborn, and Tableau.

I am proficient in Python, SQL, and a broad data stack (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch) and I bring a pragmatic, results-focused approach to projects—delivering reproducible analyses, documented models, and visual storytelling that supports business decision-making.