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 2026Glasgow, 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 2024University of Strathclyde — Glasgow, UK
Core modules: Data Analysis, Systems Design, Software Engineering
BSc Computer Science
Mar 2019 – Aug 2022Savitribai 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 Analyst — Microsoft (In progress)
- Google Advanced Data Analytics — Google (In progress)
- Machine Learning Specialization — DeepLearning.AI & Stanford Online (In progress)