Jan 2020 – Dec 2023 · 3 yrs 11 mos · London, United Kingdom · Hybrid

• Collaborate with stakeholders to define project objectives, develop analytical frameworks, and translate business requirements into analytical solutions and outline KPI’s for project roadmap
• Engage with technology teams and data engineers to build and deploy compliant, efficient and scalable Machine Learning and statistical solutions with robust MLOps Practices to optimize workflow efficiency;
• Utilize Explainable AI methods such as SHAP & LIME to provide explanation and interpretation for model outcomes
• Adroitly respond and handle ad-hoc technical requests from transversal teams with business queries
• Provide analysis and prototype solutions for the business by translating complex problems to analytical solutions
• Communicate complex findings and deliverables to technical and non-technical stakeholders
• Drive decision-making with useful insights in simple, clear visual presentations using PowerBI & MS Excel
• Led multiple AI & ML projects assessments to identify weaknesses at different stages of AI Lifecycle and suggested recommendations to prevent legal, ethical, compliance and technical risks
• Monitor latest regulations on data and AI such as GDPR, EU and UK law to present summary to the management and create relevant policies and standards guidelines for the organization
• Develop dashboard to monitor models performance using Evidently and Python Dash for model and data drift.
• Develop AI risk assessment and management measures using NIST & BIML AI risk management frameworks to review and document firmwide AI inventory projects; share knowledge and content globally using SharePoint
• Develop guidance and training to employees on responsible AI and promote responsible AI on relevant communities
• Analyse past and present incidents on data and AI to find the exploited vulnerabilities and place relevant measures to prevent future exploitations and incidents in AI projects

Oct 2018 – Sep 2019 · 11 mos · Mumbai Area, India

• o Analyzing the credit assessment policy factoring in data like Credit history, account details to derive meaningful insights to help predict possible delinquents
• o Automate disbursement process by designing and implementing robust and efficient regression models aimed to reduce manual intervention and processing time of applications
• o Partner with functional teams – Marketing, Operations and developers on end-to-end process of test, design, implementation and analysis for firm’s Admin Dashboard and web-based UI
• o Develop close working relationships with stakeholders, effectively listening and understanding their needs and applying the same to develop credit policies for loan approval process.

Jul 2016 – Sep 2018 · 2 yrs 2 mos · Bengaluru Area, India

• Align with business units to identify security risks for organization and use data gathered through security logs to present solutions for decision making
• Use machine learning tools & statistical techniques to resolve problems around information leakage, network security, risk level prediction
• Connect with cross functional teams to implement predictive, forecasting, detection models & monitor outcomes, boost efficiency through automation in information processing