Anushruti Rawat

Designed and deployed advanced predictive models using Python (Pandas, Scikit-learn) that improved forecast accuracy by 15%, enabling proactive healthcare resource allocation and cost reduction. Developed and optimized complex SQL queries, including window functions and CTEs, on AWS Redshift and Azure Synapse, which decreased data retrieval and report generation time by 25%, enabling faster busine

Developed and maintained dynamic dashboards in Power BI to monitor sales trends and marketing campaign performance, contributing to a 12% increase in campaign ROI. Utilized regression and time series analysis on sales data to improve demand forecasting accuracy, resulting in an 18% boost in inventory management and supply chain efficiency.

Automated data extraction, cleaning and preprocessing workflows using Python scripting and web scraping, increasing dataset availability and refresh frequency by 30%, enabling near real-time healthcare analytics. Designed and implemented executive dashboards with interactive visualizations to monitor critical healthcare KPIs, accelerating decision-making processes by 25%.

Developed automated Excel-based dashboards using Power Query and VBA macros, cutting manual reporting efforts by 40% and improving accuracy and timeliness of retail sales data. Performed customer segmentation analyses using clustering techniques, informing targeted marketing campaigns that increased customer engagement by 15%.

Completed a Master's degree focusing on computer and information science. Gained advanced knowledge in data analysis, business intelligence, and technical expertise relevant to the field.

Obtained a Bachelor of Technology in Electronics and Communication Engineering. Developed a strong foundation in engineering principles and problem-solving.