Headline

Manager, Data Delivery @HSBC || Data Science & Analytics

About

Data Science & Business Analytics professional with hands-on experience in statistical and machine learning modeling across banking and fintech. Skilled in hypothesis testing, root cause and factor analysis, EDA, and building predictive and prescriptive models using Python, SQL, and PySpark on large-scale enterprise and big data platforms. Proven ability to turn complex business problems into data-driven insights and production-ready solutions through collaboration with product, engineering, and business stakeholders.

Location

Greater Bengaluru Area

AI stack

claude

github copilot

openai

Work experience

Manager Data Delivery at HSBC, Sep 2025 - Present · 1 yr 2 mos, Bengaluru, 1. Contribute to AI agent development for data-asset linkage and data-dictionary discovery, translating business needs into functional requirements and actionable technical specifications. 2. Extracted and prepared data from enterprise data warehouses and big data platforms using SQL and PySpark, building base datasets through aggregation and transformation for multi-million record lending and customer analytics. 3. Integrated multiple customer credit and lending datasets, increasing analytical coverage by 30% and improving downstream model performance. 4. Performed advanced exploratory data analysis (EDA), feature engineering (behaviuoral, temporal, and aggregated features), and data quality validation across enterprise data assets. 5. Define end-to-end data flows, source-to-target mappings, business definitions, and data lineage to support traceability and trusted enterprise AI and analytics consumption. 6. Conduct GDA/EDA enhancements across four enterprise credit-lending data assets containing approximately 15–40 million records each, identifying data-quality, completeness, coverage, and usability gaps.

Senior Analyst at HSBC, May 2025 - Sep 2025 · 5 mos, Bengaluru, Karnataka, India

Business Analyst | Analytics at Jocata Financial Advisory & Technology, Sep 2022 - May 2025 · 2 yrs 9 mos, Hyderabad, 1. Owned end-to-end business and product requirements for AML Transaction Monitoring, Customer Risk Rating, Case Management, and Fraud Detection products. 2. Built machine learning and analytics solutions supporting fraud detection, transaction monitoring, AML, and operational risk platforms. 3. Engineered velocity, temporal, and behavioural features using Python and SQL to improve model accuracy and signal quality. 4. Elicited requirements from Compliance, Risk, Operations, Product, and Engineering stakeholders, translating business and regulatory requirements into functional requirements, user stories, product features, and scalable solutions. 5. Designed configurable AML monitoring scenarios, alert workflows, and case-management processes, translating complex financial-crime requirements into actionable product capabilities. 6. Conducted statistical and data analysis on large datasets to identify trends, gaps, patterns, and opportunities, supporting product strategy and data-driven decision-making. 7. Designed and evaluated Proofs of Concept (PoCs) for AI-driven fraud investigation and intelligent case management workflows.

Education

M.B.A., Business Analytics, University of Hyderabad

Bachelor of Arts, Statistics, Banaras Hindu University