Priyansh Mahalka

Improved risk-to-rejection efficiency by reducing portfolio risk by 12% at only a 7% customer reduction through optimization of bureau and digital footprint features across 200K+ users. Conducted segment-wise lending risk analysis using SQL and Snowflake to identify repayment behavior trends and key risk differentiators across customer cohorts. Processed and analyzed large-scale lending datasets using Python (Pandas) and Tableau to generate portfolio insights and support risk-based decision-making.

Analyst Intern at Kissht (2026-01 – Present)

• Improved risk-to-rejection efficiency by reducing portfolio risk by 12% at only a 7% customer reduction through optimization of bureau and digital footprint features across 200K+ users.
• Conducted segment-wise lending risk analysis using SQL and Snowflake to identify repayment behavior trends and key risk differentiators across customer cohorts.
• Processed and analyzed large-scale lending datasets using Python (Pandas) and Tableau to generate portfolio insights and support risk-based decision-making.

Investment Banking Intern at ProCapitas (2025-05 – 2025-07)

• Built DCF and M&A valuation models in Excel including FCF forecasting, WACC estimation, comparable company analysis, and terminal value calculations.
• Supported investment analysis through sector research, financial statement analysis, and identification of potential investment opportunities.

B.Tech in Chemical Engineering – Birla Institute of Technology, Mesra (2022 – 2026)

CBSE Class XII in PCM – Little Flower House, Varanasi (2020 – 2021)

CBSE Class X – St. Joseph's School, Mughalsarai (2018 – 2019)