Ashutosh Kumar ojha

At Euphoria Genx, I cleaned and preprocessed raw datasets in Python, improving model prediction reliability by 12 percentage points. I also automated repetitive data-processing steps to reduce the team's manual analysis time.

I used SQL queries and exploratory data analysis to uncover trends in business datasets, then visualized findings with Matplotlib and Seaborn. I presented analytical findings and model performance results to a four-person project team.

In my Diabetes Risk Analysis project, I compared six analytical approaches and validated findings with five-fold cross-validation, achieving 77% predictive accuracy. For IPL Performance Forecasting, I built a data pipeline and forecasting model that achieved 86% accuracy.