Albina Rebello

Proactive Data Scientist, continually enhancing technical and business expertise to develop sustainable, data-driven solutions for the organization.

Manager - Data Scientist at HDFC Bank (2022-06 – Present)

• Built a machine learning model to identify high-potential salary customers for balance growth, driving targeted engagement strategies and contributing to a portfolio build-up of ₹5,000 Cr.
• Led a customer re-engagement initiative by mapping dormant high-value customers to nearby new branches, resulting in relationship revival and ₹7 Cr in incremental growth.
• Finetuned LLMs on custom datasets to improve classification accuracy to ~90%, enabling reliable automation of feedback and query categorization.
• Build a voice analytics utility that converts treasury dealing calls to text, summarizes content via language models, and extract key highlights - reducing review time from hours to minutes.
• Engineered a recursive opportunity engine to identify corporates/directors from external data sources - saving 3 FTEs and eliminating third party vendor costs.
• Automated end to end MIS report generation, partnering with stakeholders to streamline processes and reduce turnaround time from hours to minutes.

Data Science Intern at HDFC Bank (2021-12 – 2022-06)

• Developed a comprehensive framework and logic for daily triggers to identify customers making large debits, transferring funds to self/family accounts outside the bank and exhibiting early signs of attrition.
• Focused on CASA customers with existing AL and PL, who are servicing their EMIs through competitor banks. Designed targeted strategies to encourage these customers to shift their EMI payments through HDFC Bank, unlocking a ₹169 Cr value buildup opportunity.

M.Sc. in Statistics – Narsee Monjee Institute of Mgmt. Studies (2022)

B.Sc. in Statistics – D. G. Ruparel College (2020)