Headline

Data Science Manager, HSBC | Turning LLMs into production banking systems | GenAI · Agentic AI · ML Engineering · Decision Science | I build AI systems that reduce financial risk.

About

Global banks sit on mountains of data and still make slow, manual, high-risk decisions. I fix that. As a Data Science Manager at HSBC, I architect the AI systems — from predictive fraud models to fully autonomous Agentic AI pipelines — that replace human bottlenecks with machine precision, at scale. Across HSBC and FIS, my work has cut manual data handling by 90%, slashed dashboard maintenance costs by 70%, and saved 50+ hours per year through automated reporting — measurable outcomes in environments where accuracy isn't optional. I've led cross-functional teams bridging Risk, Compliance, and Engineering, and built LLM-driven pipelines that are live in production today. I'm drawn to the intersection of chaos and clarity — where messy, real-world financial data meets elegant AI design. I believe the next wave of banking transformation won't come from bigger models, but from smarter agentic systems that know when to act and when to ask. Open to conversations about AI leadership, GenAI architecture, and the future of autonomous finance.

Location

Bengaluru

AI stack

antigravity

claude code

gemini

github copilot

langgraph

ollama

Work experience

Data & Decision Science Manager at HSBC, Jul 2025 - Present · 1 yr 3 mos, Bengaluru, Karnataka, India, - GenAI & Agentic AI Integration: Deployed 3 production-grade Agentic AI pipelines that automated end-to-end risk control workflows, reducing manual intervention by ~40% and cutting SLA breach incidents by 25%. - Strategic Project Management: Managing a robust portfolio of ML and Decision Science projects, ensuring alignment between technical execution and global finance operations. - Risk & Decision Frameworks: Built ensemble ML models for real-time fraud detection across HSBC's retail banking portfolio, improving detection precision by 18% vs. prior rule-based systems via A/B testing and causal inference. - Cross-Functional Leadership: Collaborating with Risk, Compliance, and Engineering teams to deliver interpretable and business-aligned AI solutions.

Senior Analyst at FIS, Mar 2025 - Jul 2025 · 5 mos, Pune District, Maharashtra, India · Hybrid, - Data Strategy & Insights: Lead the development of advanced analytics solutions using Power BI, SQL, and Alteryx, driving data-driven decision-making and business efficiency. - Leadership & Stakeholder Collaboration: Act as a key liaison between business and technical teams, translating complex data insights into actionable strategies that align with organizational goals. - Data Science & Advanced Analytics: Utilize Python (NumPy, Pandas, Matplotlib) and machine learning techniques to extract valuable insights, automate workflows, and enhance reporting capabilities. - BI & Dashboard Optimization: Design, develop and optimize interactive dashboards that improve business intelligence and reduce manual reporting inefficiencies. - SQL Performance Optimization: Refine and optimize complex SQL queries for better performance, ensuring efficient data processing and storage management. - Mentorship & Training: I will lead training sessions for interns and junior analysts, fostering a culture of continuous learning and skill development in analytics and visualization. - Process Automation & Innovation: Implement data automation solutions to enhance operational efficiency and streamline reporting. Leverage advanced analytics tools to reduce manual efforts. - Data Governance & Quality Assurance: Implement best practices in data governance and validation processes to ensure data accuracy, integrity, and security.

Analyst - Project Management at FIS, Sep 2022 - Feb 2025 · 2 yrs 6 mos, Pune District, Maharashtra, India · Hybrid, - Migrated 12 Tableau reports to Power BI and automated underlying SQL pipelines, reducing dashboard maintenance costs by 70% and saving 50+ engineering hours annually. - Engineered Alteryx-based data automation workflows that eliminated 90% of manual data handling across 4 reporting streams, improving downstream data accuracy by 80% and boosting team productivity by 60%. - Collaborated with cross-functional teams to gather requirements and deliver actionable insights. - Built mechanisms for project oversight and improved reporting accuracy. - Reduced manual data handling by 90% and increased data accuracy by 80%. - Achieved a 70% reduction in dashboard maintenance costs through migration. - Saved 50+ hours annually by automating reporting processes. -Boosted productivity by 60% and improved data processing efficiency by 90%

Intern at Deloitte, Sep 2021 - Oct 2021 · 2 mos, Pune District, Maharashtra, India, - Developed interactive Power BI and Tableau dashboards, improving decision-making through real-time insights. - Automated data processes and performed statistical analysis using Python to derive actionable insights. - Simplified complex data for stakeholders with advanced visualizations and storytelling. - Conducted in-depth data analysis using Python and SQL to uncover trends and optimize operations. - Optimised 15+ complex SQL queries in SQL Server Management Studio, reducing average data processing time by 90% and enabling real-time dashboard refresh for 3 client dashboards.

Education

Bachelor of Engineering - BE, Information Technology, Dyanganga Jr. College of Science