Chandrashekhar Bagul

About Chandrashekhar Bagul

Senior Quantitative Analyst at Decimal Point Analytics with 3+ years of experience applying mathematics, statistics, and machine learning to solve real-world finance and business problems. I specialize in transforming large, complex datasets into actionable insights that drive profitability, risk management, and growth.My work spans customer profitability and portfolio analytics, pricing and optimization, marketing effectiveness, and risk modeling, where I combine SAS, SQL, Python, and distributed computing to build scalable analytics solutions. I have hands-on experience developing predictive models, segmentation frameworks, anomaly detection systems, and optimization engines, directly linking analytical outputs to P&L impact and decision-making.I bring strong quantitative rigor, including experience with statistical modeling, time series analysis, sensitivity and stress testing, and option-based risk analysis (Greeks), while maintaining a business-first mindset. I enjoy collaborating with stakeholders to translate complex analytics into clear narratives and data-driven strategies.Driven by continuous learning at the intersection of quantitative finance, data science, and applied machine learning, I am particularly interested in roles where analytics directly influences product performance, customer growth, and risk-adjusted returns.

Experience

1. Senior Quantitative Analyst

   Decimal Point Analytics

   Jun 2024 — Present · Nashik, IN

Education

• Mahatma Gandhi Vidyamandir's Loknete Vyankatrao Hiray Arts, Science & Commerce, Nashik-422003

  Master's degree, Mathematics