Harshita kanuri

• Managed cost-out initiatives for corporate and material categories, analyzing supplier pricing and identifying cost-saving opportunities. • Ensured contract coverage for items by collaborating with Category Managers to confirm that purchased materials and services were aligned with negotiated supplier contracts. • Monitored procurement data to identify items not under contract and worked with stakeholders to improve contract compliance and cost control.Automated the corporate cost-out process by using Microsoft Power Automate to capture supplier invoices received via email, automatically store them in SharePoint, and convert invoice data into structured Excel datasets. Integrated the data with Power BI to filter supplier-level information and analyze cost savings, eliminating manual calculations and improving efficiency in supplier spend tracking. • Prepared Quarterly Business Review (QBR) decks for suppliers by analyzing supplier performance, cost metrics, and procurement data. • Automated the QBR reporting process using Power BI by integrating Microsoft Forms to collect supplier inputs and automatically generate visual dashboards for leadership review. • Designed cost estimation and forecasting models for poles and shrouds using a bottom-up cost modeling approach, leveraging historical spend data, forecast models, and cost percentage assumptions to estimate future pricing and identify potential cost-saving opportunities for procurement teams.

Performed Feature Engineering on large datasets using regression and statistical methodologies, including Random Forest; built models that improved forecasting accuracy by 25%, significantly enhancing strategic planning and decision-making processes. • Collaborated with technical team to create Splunk dashboards to provide a holistic view of Project schedules, Status reports, Issue logs as part of an optimization process leading to reduction of 30% in the number of incidents breaching deadlines. • Implemented and optimized ETL processes for SCCM data using Snowflake, resulting in enhanced data ingestion and loading efficiency. By leveraging Snowflake’s capabilities, improvements to the ETL workflows increased data integrity by 35% and accuracy by 40%, leading to a substantial boost in overall operational efficiency.

Utilized SQL to analyze policyholder and claims data, enhancing decision-making and understanding of insurance coverage requirements. Developed complex CTE that improved data retrieval speed by 35% and increased the accuracy of claims reporting by 25%. and developed interactive dashboards in Power BI to support underwriting and claims analysis, 30% improvement in the accuracy of premium and claims projections. • Led recurring and ad-hoc data analysis projects, aligning with business objectives to support strategic decision making. This initiative resulted in a 30% reduction in project turnaround time for risk assessment and claims processing. • Created dynamic visual reports in MS Excel using VBA, pivot tables, Power Query, and VLOOKUP. These reports tracked policy renewals, claims settlements, and customer data, improving data retrieval speed by 40% and decision-making accuracy by 30%.