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 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