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Sanyog Pardeshi

Data Analyst · Business Intelligence Engineer · AI Enthusiast

Pune, India · sanyogpardeshi@outlook.com · +91 7350588753

linkedin.com/in/sanyogpardeshi · github.com/sanyogpardeshi

Summary

Data Analyst with two years of enterprise experience at HPE Financial Services, delivering SQL reporting, Power BI dashboards, and UAT programme management on a USD 14.45 billion global lease platform. Proficient across BFSI operations spanning North America, EMEA, APJ, and Latin America.

Experience

Data Analyst · Hewlett Packard Enterprise Financial Services

Apr 2024 — Apr 2026

Glasgow, UK

  • BI infrastructure deployment: Built and maintained 19 Power BI dashboards (DAX, Power Query, SQL) across 4 global regions, driving an 18% reduction in operational turnaround time and a 15% improvement in data accuracy.
  • Database query engineering: Wrote complex SQL queries for data extraction, transformation, and validation across enterprise lease and lending datasets.
  • Process script automation: Automated reconciliation and validation workflows using Python and SQL, processing 33,000 assets and 60,000 lease records in the largest single transaction in team history.
  • Requirement engineering: Gathered and documented business requirements from cross-functional stakeholders, translating them into functional specifications, fit-gap analyses, and process maps for a USD 14.45 billion Odessa platform migration.
  • Functional system support: Supported 10 Odessa platform enhancements integrated with Microsoft Dynamics 365, including multi-user processing, asset locking, and concurrent ERQ calculation.
  • UAT governance: Key contributor in a 57-scenario, 1,288-hour UAT programme across 51 resources; identified critical defects missed by all other testers and tracked all issues via Azure DevOps and SPIRA.
  • Portfolio management: Managed lease reconciliation, ERQ processing, and asset termination workflows for 10–15 enterprise accounts including US Navy, Bank of America, Ford, and Kaiser Foundation.

Education

MSc Advanced Computer Science — Grade 2:1

Jan 2023 – Mar 2024

University of Strathclyde — Glasgow, UK

Core modules: Data Analysis, Systems Design, Software Engineering

BSc Computer Science

Mar 2019 – Aug 2022

Savitribai Phule Pune University — Pune, India

Skills

Data & Analytics: SQL, Power BI, Excel (Advanced), Python, Machine Learning

Platforms: Azure, Azure DevOps, Dynamics 365

Emerging: AI / LLM Tooling

Certifications

  • PL-300: Microsoft Power BI Data AnalystMicrosoft (In progress)
  • Google Advanced Data AnalyticsGoogle (In progress)
  • Machine Learning SpecializationDeepLearning.AI & Stanford Online (In progress)