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Arya Ganu

Arya Ganu

Data Analytics Researcher

Talent
Lancaster, LancashireMember since September 11, 2023
logistic regression and classificationscikit-learnstatsmodelsPyTorchRAGmultimodal retrievalagentic AILangGraphn8nPythonpandasNumPySQLGitETL pipelinesdata cleaningdata-quality validationdashboardsfinancial modellingDCF and comparablesforecastingM&Amutual funds and NAVfinancial planningcard paymentsBloombergRefinitivGranger causalityGARCHVAR/VECM
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logistic regression and classificationscikit-learnstatsmodelsPyTorchRAG

About

Analysed 330k+ card-not-present transaction attempts across 34 merchants to understand why recurring payments fail, using Python and logistic regression Turned the findings into recommendations for the sales team on retry scheduling, tokenisation and routing (client-facing, under NDA)

Experience

Data Analytics Researcher at Acquired.com (FCA-authorised payment orchestrator) (2026-07 – Present)

  • Analysed 330k+ card-not-present transaction attempts across 34 merchants to understand why recurring payments fail, using Python and logistic regression
  • Turned the findings into recommendations for the sales team on retry scheduling, tokenisation and routing (client-facing, under NDA)

Research Assistant, Agentic AI at Gilmore Institute of FinTech, University of Warwick (2026-05 – 2026-07)

  • Built automated Python data pipelines and AI agents (LangGraph, n8n) replacing manual collection across property datasets; trained multimodal retrieval models on Coventry housing stock

Wealth & Retirement Planning Intern at Bajaj Capital (2024-07 – 2024-09)

  • Built retirement corpus projections for clients with INR 25–40 lakh portfolios, stress-testing return assumptions across asset allocations
  • Prepared risk-return presentations for advisory meetings; built client dashboards tracking income, spending and savings against goals

Summer Intern, Mutual Funds at HDFC Asset Management Company (2023-06 – 2023-09)

  • Analysed structure, performance and mandates across equity, money market, balanced advantage and fund-of-funds products, including layered costs
  • Supported daily NAV calculation, tracing how valuations, expenses and unit flows feed NAV; achieved NISM Series V-A certification

Senior Analyst, Sell-Side M&A at Lancaster Investment & Finance Society (2023-10 – 2025-07)

  • Built DCF and comparable-company models on E. ON’s €43bn acquisition of Innogy, testing whether €600–800m of guided synergies justified a 28% premium given the combined group’s leverage

Lancaster Chess Team (2023-10 – 2025-07)

  • Competed and University and National level, Achieved a level of 2000 elo.

Team Member at SKVP, Oxford Street (2026-07 – Present)

  • 15–20 hrs/week; cash and card reconciliation at peak volumes

Education

MSc in Financial Technology – University of Warwick, Warwick Business School (2025-09 – 2026-09)

BSc (Hons) in Finance – Lancaster University (2022-09 – 2025-07)

Skills

Data Analytics Researcher

Reviews

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