Sudhanshu Deshpande

About Sudhanshu Deshpande

Turning Data into Actionable Insights | Bridging Business & Analytics In today’s data-driven world, organizations thrive on insights that drive strategic decision-making. That’s where I come in. With a strong background in Data Analytics, Business Intelligence, and Machine Learning, I transform raw data into meaningful, actionable insights that optimize performance and drive growth. What I Bring to the Table With experience at the World Bank and Tata Consultancy Services, I have developed expertise in SQL, Python, Tableau, Power BI, and predictive modeling. My work has led to significant business outcomes—whether it\'s saving 150+ man-hours annually through ML automation, reducing labor costs by 25% in healthcare analytics, or leveraging BI tools to drive a 15% revenue increase. How I Make an Impact I thrive in problem-solving and automation, designing scalable data solutions that optimize efficiency. From ETL automation for 5M+ records to predictive modeling for strategic insights, my approach ensures that businesses extract maximum value from their data. Where I’m Headed I aim to continue driving data-driven innovation, helping organizations harness the power of analytics to make smarter decisions, improve operational efficiency, and gain a competitive edge. Let’s Connect! If you’re looking for a Data Analyst who can unlock powerful insights and create meaningful impact, let’s chat! Connect with me here on LinkedIn or reach out via email at s••••••••@gwu.edu.

Experience

1. Data Analyst

   Crowddoing

   Sep 2024 — Present

   At CrowdDoing, I contribute to a global wildfire prevention initiative by using data analytics to support climate resilience and disaster preparedness. I collect, process, and manage multi-country wildfire and fund allocation data, enabling more informed risk mitigation strategies. Built an ETL pipeline and centralized database in MongoDB to track global wildfire events and country-level disaster relief funding. Collaborated on upcoming ML models to predict wildfire risk and assess intervention effectiveness, enhancing proactive disaster response. Integrated data from open sources and government reports to support visual analytics and drive strategic planning in fire-prone regions.My work supports data-driven solutions for environmental resilience and contributes to a larger systems-change initiative aimed at saving lives and ecosystems.

Education

• The George Washington University

  Master of Science - MS, Data Science

• Dr. Panjabaro Deshmukh Polytechnic, Amravati

  Diploma, Information Technology

• Prof. Ram Meghe Institute of Technology & Research Badnera Rly.

  BE - Bachelor of Engineering, Information Technology