Uditanshu Singh
I am an MBA student at XLRI Jamshedpur with over three years of professional experience building systems that healthcare institutions and enterprise clients depend on daily. I began at UST, where I helped a major hospital network manage critical patient data workflows while ensuring regulatory compliance. Over time, I took on increasingly complex initiatives — leading platform stability efforts, solving large-scale operational inefficiencies, and mentoring cross-functional teams through tight delivery cycles. I earned a fast-tracked promotion to Data Engineer by consistently delivering high-impact outcomes ahead of schedule. Along the way, I also led sports and cultural initiatives within the organization, learning that the best solutions emerge when people feel heard and valued. At XLRI, I was selected to join the Career Development Committee — the body responsible for crafting the resumes that facilitate placements for our entire batch. I believe that effective leadership stems from balancing analytical rigor with genuine empathy — solving the right problems while building the right environment for teams to thrive.
Work experience
47 months in total
- UST47 months
Career highlights
Developer II - Software Engineering, UST
- Spearheaded validation and remediation of Azure Data Factory pipelines handling sensitive patient records for a major US hospital network, reducing data loss risk by 30%.
- Designed and maintained production SQL Server tables and views for procedure datasets, improving query performance for clinical workflows.
- Ensured HIPAA-compliant data governance by managing ADLS Gen2 Blob Storage for healthcare data staging workflows across the enterprise.
- Architected ADF-integrated pipelines across Bronze, Silver, Gold, and Platinum medallion layers to migrate healthcare data to Microsoft Fabric for scalable transformation.
- Proactively detected and troubleshot pipeline errors across production ADF workflows, preventing critical data loss for healthcare operations.
- Accelerated incident resolution by 25% by diagnosing failures in Azure Synapse Analytics and Microsoft Fabric pipelines.
- Maintained 99%+ pipeline uptime by monitoring existing data flows and applying hotfixes to ensure uninterrupted delivery.
Developer I - Software Engineering, UST
- Built a Flask-based photo management API with Redis caching to serve 10,000+ users daily with real-time data access.
- Reduced server load by 40% by containerizing the web application with Docker, enabling seamless deployment on Linux infrastructure.
- Integrated PostgreSQL as persistent storage with Redis as a high-performance caching layer to improve retrieval speed for medical imaging workflows.
- Built an end-to-end SimPy simulator to model Walmart's online delivery operations, reducing resource planning risk before physical deployment.
- Enabled virtual testing of supermarket delivery scenarios, saving operational costs by avoiding premature infrastructure commitments.
- Parameterized simulation inputs via PostgreSQL for dynamic scenario analysis, delivering accurate throughput forecasts for operations planning.
Junior Software Engineer - Software Engineering, UST
- Developed a Python tool to detect and remove duplicate XML entries, eliminating data redundancy for Elevance Health's automated systems.
- Automated deduplication of auto-generated XML system outputs, reducing resource wastage across multiple departments.
- Delivered a clean, modular deduplication script with minimal manual effort, improving data quality for 10+ departments.
Achievements
- Achieved top-tier ratings in 3 consecutive cycles, leading to a fast-tracked promotion.
- Won both the Football and Cricket tournaments organised, demonstrating strong team leadership and competitive performance alongside organisational responsibilities.
- Collaborated with multiple NGOs as part of CSR initiatives to collect and distribute surplus clothing, stationery, and other usable items to underserved communities.
- Spearheaded planning and execution of cultural programmes for the organisation's annual events, overseeing performances, coordination, and cross-team participation.
Certifications
- Python for Finance: Beta and Capital Asset Pricing Model (Coursera)
- Google Data Analytics Specialization(Coursera)
- Capstone: Retrieving, Processing, and Visualizing Data with Python(Coursera)
- LLM Engineering: Master AI, Large Language Models and Agents(Udemy)
