Durgesh Thombre

BUSINESS ANALYST | DATA ANALYST

: https://www.linkedin.com/in/durgesh-thombre-5533091b3/

About Me

  • Business Analyst with over 2 years of experience in analyzing, documenting, and improving business processes.
  • Skilled in Power BI, SQL, Python, and Advanced Excel to drive data-driven decision-making.
  • Passionate about leveraging data to optimize processes and enhance accuracy in the mortgage and property preservation domain.

Work Experience

Business Analyst
- Dhaninfotech
  • Conducted data analysis using Power BI, Excel, SQL, and Python to extract insights and support decision-making.
  • Designed and implemented dashboards for leadership, improving reporting efficiency by 40%.
  • Collaborated with Finance, Strategy, and Data teams to identify and drive process optimization projects.
  • Acted as a bridge between business and technology teams, ensuring seamless project execution.
  • Established relationships with external data providers for enhanced data integration.
  • Automated recurring reports using SQL and Python, reducing manual effort by 30%.
Dec 2021 - Mar 2024
Nagpur
Business Analyst Intern
- Dhaninfotech
  • Assisted in auditing invoices using Microsoft 365 Dynamics and Advanced Excel.
  • Conducted data validation and reconciliation for mortgage property reports.
  • Documented key findings and provided actionable insights for process enhancements.
Oct 2021 - Dec 2021
Nagpur
Intern
- Analytics with AI | CloudBlitz
  • Engaged in BI tools training, statistical analysis, and business case studies.
  • Worked on real-world analytics projects involving structured and unstructured data.
  • Developed data visualization dashboards using Power BI and Python libraries (Matplotlib, Seaborn).
Feb 2025 - Present
Nagpur

Education

Bachelor of Engineering (B.E.) in Information Technology
2017 - 2021
Priyadarshini Institute of Engineering and Technology

Projects

Automated Mortgage Data Reporting
  • Developed Power BI dashboards reducing reporting time by 40%.
Process Improvement Initiative
  • Led an optimization project resulting in a 20% increase in operational efficiency.
SQL-Based Data Cleaning System
  • Designed a process to clean raw data, improving data accuracy by 25%.
Customer Retention Analysis
  • Conducted predictive analytics on customer behavior using Python and SQL.

Awards

Best Performer
  • Received 'Best Performer' title twice for outstanding contributions to projects.
SME Nominations
  • Recognized twice for Subject Matter Expert (SME) role due to strong domain expertise.
SPOC for 30+ Team Members
  • Served as a Single Point of Contact for process-related inquiries and escalations.
Automated Data Reporting
  • Reduced reporting time by 40% through Power BI and SQL automation.
Enhanced Data Accuracy
  • Improved data validation processes, reducing errors by 25%.