Rupali Rakibe

Analyzed and processed large-scale B2B datasets using Advanced Excel (Pivot Tables, VLOOKUP, Power Query), performing data cleaning, transformation, and validation to maintain analysis-ready datasets. Built interactive Power BI dashboards tracking KPIs, performance metrics, and business trends, providing real-time visibility to sales and demand-generation teams. Developed Streamlit-based data applications for real-time visualization and reporting, enabling stakeholders to interact with live data insights. Designed automated reporting systems reducing manual intervention by 35% and created scalable reporting frameworks aligned with evolving business standards. Conducted market and industry analysis to generate actionable insights supporting strategic decision-making across sales teams.

Performed time-series analysis and forecasting on sales, inquiry, and expense datasets using Python, improving prediction accuracy by 15% for demand planning. Designed executive-level Power BI dashboards using DAX measures and data modeling to enhance KPI visibility across 5+ business metrics. Built and validated machine learning models (Regression, Classification) for demand forecasting and predictive analytics using Scikit-learn and Python. Automated MIS and recurring reports using Excel and Python, reducing manual reporting effort by 30% and improving data delivery consistency. Conducted exploratory data analysis (EDA) and statistical evaluation to identify performance trends and business gaps, collaborating with cross-functional teams.