Sanket Jadhav Email & Phone Number

• Collected, cleaned, and integrated data from various internal and external sources, including claims, customer service, marketing, and underwriting systems using SQL and Python.• Automated the generation of recurring reports using Python scripts, which streamlined reporting on claims processing, customer feedback, and fraud detection, reducing manual reporting time by 40%.• Designed and developed interactive dashboards using Power BI to visualize KPIs such as claims processing times, customer satisfaction scores, and fraud detection rates.• Collaborated with underwriters, claims adjusters, and marketing teams to provide actionable insights using JIRA for project tracking.• Identified inefficiencies in existing data workflows and implemented process improvements using Python and SQL, resulting in a 20% increase in data processing speed.

• Automated month-end, quarterly, and annual financial reporting processes by developing Python scripts and SQL queries, reducing manual effort by 60%.• Gathered, cleansed, and integrated financial data from multiple sources, including ERP systems and external financial data feeds, to create unified datasets using Python and SQL.• Built advanced forecasting models leveraging time series analysis and machine learning algorithms, improving forecasting accuracy by 20%.• Created real-time dashboards in Tableau, offering dynamic insights into KPIs like revenue growth, expense ratios, and profitability, allowing leadership to make faster, data-driven decisions.• Developed a comprehensive budget tracking system that compared planned versus actual expenditures, enabling more accurate tracking of financial performance across departments.• Identified inefficiencies in financial processes and implemented streamlined data workflows, cutting down manual data entry tasks and improving report delivery times by 40%.• Utilized Oracle and SQL Server databases to manage and optimize large-scale financial datasets.

• Utilized advanced Excel functions (e.g., VLOOKUP, INDEX-MATCH, Pivot Tables) to manipulate and validate data during the initial analysis phase, ensuring accuracy across reporting processes.• Conducted in-depth analysis of operational workflows and visualized operational performance metrics through Excel Dashboards, allowing for quick identification of inefficiencies.• Conducted in-depth analysis of operational workflows to identify bottlenecks, leading to a 20% improvement in process efficiency.• Used Excel for detailed KPI tracking and ad-hoc analysis, providing department managers with a simple tool for monitoring day-to-day operational performance.• Presented key insights and recommendations to senior leadership, facilitating data-driven decisionmaking and aligning business strategies with operational goals.• Managed large datasets using SQL Server and PostgreSQL, ensuring efficient data retrieval and storage for all business units.

Master Of Science - Ms, Project Management

Bachelors Of Management Studies (Bms), Business Administration And Management, Finance