Dheeraj Ravi
I turn messy data into dashboards that drive decisions
New to Contra
Dheeraj is ready for their next project!
Built a year-on-year energy consumption dashboard tracking current vs
prior year units across multiple consumption points. Features goal
tracking with percentage variance, monthly trend lines, and a summary
table — enabling operations teams to monitor performance against targets.
1
2
Designed a financial dashboard comparing credit note transactions across 2025 and 2026 by month. Includes trend line charts, donut breakdowns by transaction type, and a detailed drill-through table — giving finance teams instant visibility into return patterns and net value movements.
1
1
Built a real-time operational dashboard tracking 6,700+ stock codes and
supplier chasing status across multiple entities. Features interactive
filters, donut chart for status breakdown, and drill-down tables for
procurement teams to monitor progress and follow-ups at a glance.
1
1
Developed a data analytics solution to predict business star ratings from customer review text, enabling early detection of negative sentiment and proactive intervention.
The project leveraged large-scale review datasets to extract insights from unstructured text. Natural language processing (NLP) techniques were applied for text cleaning, feature extraction, and sentiment analysis, followed by machine learning models to predict star ratings based on review content.
An end-to-end analytics pipeline was designed, covering data acquisition, integration, analysis, and delivery. Insights were presented through an interactive Power BI dashboard, allowing stakeholders to monitor trends, identify at-risk businesses, and respond to customer feedback more effectively.
Key Features:
Text preprocessing and sentiment analysis of customer reviews
Predictive modelling of star ratings using machine learning
Early warning indicators for potential service issues
Interactive dashboards for data-driven decision-making
Tools & Technologies: Python (Pandas, Scikit-learn, NLP), Power BI
Impact:
Supports a shift from reactive to proactive decision-making by identifying dissatisfaction early, improving customer experience, and enabling more effective service management.
1
2