Akshay Khobragade
@akshaykhobragade
Senior Data Scientist building production-grade GenAI/NLP and model governance for financial risk.
What I'm looking for
I build production-grade AI/ML solutions that move business metrics—especially where governance, monitoring, and auditability matter. Over 8 years, I’ve applied deep financial-services domain knowledge across fraud detection, credit risk (PD/LGD/EAD), and loss forecasting with a hands-on approach to GenAI and NLP.
At PayPal, I led an end-to-end GenAI + NLP automated model monitoring pipeline that parses performance reports, detects metric drift against historical baselines, and generates narrative summaries to improve accuracy and consistency. I also took LLM-driven document comparison into a deployed, production-grade governance workflow through prompt engineering, evaluation, and iterative refinement.
I architected governance infrastructure that increased team KPI compliance from 45% to 82% in a single annual cycle using a Smartsheet governance dashboard with real-time visibility across 5+ model categories. Previously, I automated model risk operations at a Tier-1 bank—saving 200+ staff hours annually—delivered audit-grade PD/EAD/LGD and risk model validation artifacts, and replaced static reporting with interactive Power BI dashboards while mentoring junior analysts in Python-based testing methodologies.
Experience
Work history, roles, and key accomplishments
Built an end-to-end GenAI + NLP pipeline for automated model monitoring that parses performance reports, detects metric drift, and generates narrative summaries across credit, fraud, and underwriting. Improved team KPI compliance from 45% to 82% by architecting a Smartsheet governance dashboard and delivered LLM-driven document comparison tooling for production governance workflows.
Designed Python and SQL automation pipelines that saved 200+ staff hours per year across data integration, cleansing, model inventory management, and reporting for a Tier-1 bank. Validated PD, EAD, LGD, Market Risk, and Fraud models through end-to-end lifecycle and testing, replacing static Excel MIS with interactive Power BI dashboards for self-serve risk analytics and audit-grade reporting.
Senior Data Analyst
Bizeeoco LLP
Jul 2019 - Feb 2022 (2 years 7 months)
Developed end-to-end EDA and data model design for a credit risk analytics platform spanning the full account lifecycle, supporting origination to decision files and performance using SQL, SAS, and Python. Converted Excel-based credit risk reporting into Power BI dashboards, improving stakeholder visibility into SME portfolio KPIs and streamlining BAU reporting workflows.
Performed root-cause analytics to quantify monetary losses from mis-triaged support dispatches for Dell India, enabling process corrections that reduced unnecessary field dispatches and improved service cost efficiency. Built NPS/CSAT-driven training strategies for L1 support teams to improve performance metrics.
Education
Degrees, certifications, and relevant coursework
Liverpool John Moores University
Master of Science, Data Science
Pursuing an MS in Data Science at Liverpool John Moores University.
IIIT Bangalore
Executive PG, Data Science & AI (NLP specialization)
Completed an Executive PG in Data Science & AI with an NLP specialization at IIIT Bangalore (2025).
KDK College of Engineering, Nagpur
Bachelor of Engineering, Information Technology
Earned a B.E. in Information Technology from KDK College of Engineering in 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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