Sanyog Pardeshi
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.
Platform migration supported
Power BI dashboards shipped
Assets automated
Faster turnaround
Not a straight line — a route.
India to the UK and back, by way of enterprise data at global scale. Here's the path that shaped how I work with information.
Where it started
Began a BSc in Computer Science at Savitribai Phule Pune University — first contact with data structures, databases, and the itch to make information legible.
Crossing continents for depth
Graduated BSc Computer Science and moved to the UK to pursue an MSc in Advanced Computer Science at the University of Strathclyde — chasing rigor in systems design and data analysis.
MSc Advanced Computer Science
Graded 2:1. Focused on data analysis, systems design, and software engineering, while mentoring 100+ prospective students as a Unibuddy Student Ambassador — using CRM engagement analytics to refine outreach.
HPE Financial Services
Joined Hewlett Packard Enterprise Financial Services as a Data Analyst, embedding in a global lease and lending operation spanning four regions and dozens of enterprise accounts.
Enterprise analytics at scale
Became the de facto North America regional lead. Built 19 production Power BI dashboards, automated reconciliation for 33K+ assets, and drove UAT for a USD 14.45B Odessa platform migration integrated with Microsoft Dynamics 365.
Next chapter
Bringing enterprise-grade BI and automation experience back to India — looking for the next hard problem in analytics, data platforms, or applied AI.
Two years, one global platform.
Enterprise-scale BI and process ownership — measured in dashboards shipped, assets automated, and defects caught before they hit production.
Data Analyst
Hewlett Packard Enterprise Financial Services
Glasgow, UK
Delivered reporting, dashboard development, and asset lifecycle analysis for complex global lease portfolios, serving as the de facto North America regional lead.
Projects that moved real numbers.
Each one shipped inside a live enterprise environment — not a sandbox. Open a case study for the full breakdown.
USD 14.45B Odessa System Migration
57 test scenarios · 1,288 hours · 51 resources
HPE needed to migrate a USD 14.45 billion global lease portfolio onto an upgraded Odessa platform integrated with Micr…
Automated Lease Reconciliation Engine
33K assets · 60K transaction records
Client return inventory manifests had to be matched against backend lease contracts by hand — a slow, error-prone proc…
Multi-Regional Dashboard Network
19 connected dashboards · 4 regions
Leadership had no unified view of active return lifecycles across North America, EMEA, APJ, and LATAM — each region tr…
The stack behind the numbers.
Proficiency, not a badge wall — calibrated against what I've actually shipped in production.
Data & Analytics
Platforms
Emerging
Actively leveling up.
Formalizing the analytics and ML instincts built on the job.
PL-300: Microsoft Power BI Data Analyst
Microsoft
Validates skills in preparing, modeling, visualizing, and deploying data with Power BI — directly building on 19 production dashboards shipped at HPE.
Google Advanced Data Analytics
Professional certificate covering the full analytics lifecycle — Python, statistics, and machine learning for real-world business decisions.
Machine Learning Specialization
DeepLearning.AI & Stanford Online
Andrew Ng's foundational specialization in supervised learning, unsupervised learning, and best practices for building ML systems.
Recommendations, in progress.
I'm currently collecting feedback from managers and colleagues at HPE Financial Services — this space will hold their words, not mine.
Worked with me and willing to vouch? I'd genuinely appreciate a LinkedIn recommendation — it'll show up right here.
Recommend on LinkedInLet's talk about your data.
Open to data engineering, BI, and applied AI roles. Fastest way to reach me is email — I read every message.