DHRUV NIRMAL

Qualified Business Intelligence Analyst versed in data mapping and user acceptance testing to solve complex problems in high-pressure environments. Activates strong analytical skills to investigate trends in large amounts of data and formulate conclusions based on findings. Excels at cultivating, managing and leveraging client relationships to foster extended engagements and business opportunities.

• Retail forecasting: Implemented a predictive algorithm based on historical customer demand data, resulting in an average accuracy rate of 90% for forecasting future sales volumes. Conducted detailed analysis of the aus_retail dataset, identifying key patterns and trends to forecast future sales and resulting in improved accuracy compared to other forecasting models.
• Effectively communicating with data: Developed and deployed an interactive R Shiny app based on a FIFA World Cup dataset. Authored and published an open-source R package. Authored an R blog post to give insights about FIFA World Cup statistics.
• Hand-writing detection: Performing High-dimensional data analysis and principal component analysis to segregate different handwriting patterns into clusters. Developed and employed a handwriting detection model using machine learning algorithms.