Profile – Galef Ezra P

Navi Technologies

Launched a generative‑AI support bot using retrieval‑augmented generation (RAG) that handles roughly 10,000 customer queries per day, covering ~ 80% of support volume.
Built manual and automated quality‑check pipelines to create a feedback loop for continuous improvement of the GenAI bots.
Explored large‑language model fine‑tuning and model context protocols (MCPs) to automate everyday workflows.
Scaled up the calling platform, increasing auto‑dialer efficiency from 30% to 45%.

Drove a ~ 20% increase in loan disbursals (~ ₹200Cr) by linking customer feedback with historical data to uncover and fix a critical bug.
Implemented a dynamic pricing grid that improved yield by 2% while keeping the drop in take rate below 0.5%.
Automated the monthly projection model, enabling more accurate and efficient target simulations.
Collaborated with product and growth teams to hit monthly disbursal targets within budget.

Oversaw budgeting and financial planning for lending products, partnering with cross‑functional teams to track performance and drive cost efficiencies.
Supported decision‑making through data analysis and monthly financial reporting.
Proposed tweaks to the lending customer flow that increased profitability by ~25%.
Prepared monthly financial reviews, quarterly re‑forecasts and an annual operating plan for a lending product.
Reported daily marketing costs and identified opportunities for cost reduction.

MBA, Indian Institute of Management Ahmedabad (2019–2021) — GPA 3.09/4.33; top 20% in finance and accounting courses.
B.Sc. in Statistics, Loyola College, Chennai (2015–2018) — GPA 9.37/10; department gold medallist and batch topper (rank 1 of 64 out of ~7,000 students).
Skills: SQL & data analysis, product & design thinking, stakeholder management, roadmap prioritisation, prompting & working with large‑language models.