ATHARVA SINGH

MBA candidate with a focus on Business Analytics, complemented by a Computer Science engineering background. Skilled in converting raw data into strategic business insights through analytical and machine learning techniques and proficient in Excel, Python and Power BI, with strong skills in data analysis and visualization. Eager to leverage analytical problem-solving abilities to drive impactful data projects.

AI-Driven Strategic & Financial Sustainability Analysis

• Analyzed AI-embedded strategies of Google, Microsoft, IBM, Infosys & Accenture to assess impact on cost efficiency, ESG performance, and long-term value creation using secondary financial and sustainability data.
• Linked AI-driven decision systems to energy cost reduction, operational efficiency, and improved ESG metrics, highlighting AI’s role in sustainable financial performance.

Big Data–Driven Lunar Surface Analysis

• Analyzed large-scale lunar terrain data using Hadoop and PySpark to enable efficient data processing and decision-oriented insights.
• Applied machine learning–based image segmentation to support exploration planning, risk assessment, and operational decision-making.

AI-Based Marine Pollution Detection using Image Analytics

• Analyzed SAR and image data using machine learning and semantic segmentation techniques (U-Net, ResNet, K-Means, Otsu) to identify marine pollution patterns.
• Enabled early pollution detection and decision support for environmental monitoring through automated image classification and analytics.