Mahesh Khedekar
Analytical, MIS and Expert in automating reports
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Mahesh is ready for their next project!
Data Analyst & Power Platform Specialist
š Mumbai, India | š +91 7021027927 | āļø maheshkheder329@gmail.com (mailto:maheshkheder199@gmail.com)
Analytical and results-driven Data & MIS Specialist with 5+ years of experience optimizing reporting frameworks, automating complex workflows, and designing business intelligence solutions in the financial and insurance sectors. Skilled in transforming raw data into actionable insights using Power BI, SQL, Advanced Excel (VBA), and Power Automate. Recognized for delivering end-to-end data pipelines, custom approval workflows, and robust financial models.
Core Capabilities & Technical Toolkit
Business Intelligence & Dashboards: Power BI (Expert DAX, Power Query, Dynamic RLS), SAP BO, Trend & P&L Analysis
Database & Data Architecture: SQL (Data Modeling, Query Optimization, Joins, Data Validation), Dataverse, SharePoint Lists
Process Automation: Excel VBA Macros, Power Automate (Multi-stage Approval Workflows, Data Integration)
Analytics : Data Cleaning, Data Reconciliation, Python (Data Processing & Visualization)
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Integrating modern automation into daily business operations serves as a catalyst for eliminating repetitive manual overhead, drastically reducing human error, and accelerating critical decision-making cycles. By leveraging structured workflows through tools like SQL, Excel VBA macros, Power BI dashboards, and custom Python automation scripts, organizations can transform complex, fragmented datasets into dynamic, real-time reporting systems. Rather than spending valuable hours manually aggregating reports, cleansing raw data, or cross-referencing records across disparate databases, automated pipelines seamlessly process and visualize key metrics in real time. This operational shift not only enhances operational speed and analytical precision across functions like MIS and performance tracking, but it also frees up core team members to focus on high-impact strategic initiatives and proactive business growth.
Name - Mahesh Narendra Khedekar
Contact No -(+91) 7021027927 [fast responce Conntact with whatapp]
Email ID - maheshkhedekar329@gmail.com
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Data Entry Specialist / MIS Data Analyst
The primary objective of this project was to overhaul, digitize, and standardize a large volume of unstructured operational and product data across multiple platforms. The client required structured database entry, cross-platform synchronization, and error-reconciliation across inventory records, customer profiles, and transaction logs.
By implementing strict validation controls and structured entry templates, the project eliminated manual transcription errors, streamlined monthly reporting cycles, and ensured 99.8% data accuracy across all core business systems.
Key Responsibilities & Scope of Work
1. Data Processing & Database Entry
2. Data Cleaning & Reconciliation
3. Workflow Automation & Efficiency
4. Quality Control & Reporting
more infomation contact to (+91) 70210272927/maheshkhedekar199gmail.com
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Monthly Reinsurance Premium and Claim Register
The Monthly Reinsurance Premium and Claim Register is an advanced Excel-based reporting and administration engine tailored for insurance operations, treaty accounts, and claims management. Designed to handle high-volume bordereaux files, this solution automates premium allocations, cession calculations, and claims recovery tracking across complex reinsurance treaties.
By replacing manual spreadsheets with automated Power Query models, dynamic lookup formulas, and VBA macro pipelines, the system eliminates human calculation errors, prevents recovery leaks, and standardizes disparate insurance data streams into unified master logs. Key features include automated validation algorithms to flag cessions discrepancies, real-time tracking of paid versus pending claims, and interactive executive dashboards for audit readiness.
Whether processing proportional treaties, excess of loss accounts, or monthly bordereaux statements, this workflow cuts monthly closing timelines by up to 80%. It delivers complete, transparent data lineage, robust audit trails, and zero-error execution for finance, underwriting, and reinsurance operations teams.
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