KIRAN User
@kiranuser6
Data & Business Analyst driving supply-chain visibility through SQL, dashboards, and AI.
What I'm looking for
I’m a Data and Business Analyst with 2+ years of experience in logistics and supply chain analytics, focused on turning messy data into clear operational outcomes. I’ve worked across Shippeo and Logward, where I helped strengthen global shipment visibility through reliable reporting.
In my current role as a Data Quality Specialist, I validate shipment tracking data for real-time visibility and use SQL-based root cause analysis to resolve data quality issues. I coordinate with global logistics partners and internal teams to investigate shipment data gaps and support SLA adherence and stakeholder reporting.
Previously at Logward, I validated 10,000+ shipment records per cycle via SQL checks, built operational KPI dashboards, and investigated reporting anomalies to identify pipeline failures. I also monitored logistics KPIs like delivery SLAs, shipment accuracy, and throughput to flag deviations early for proactive corrective action.
Alongside analytics, I’ve shipped AI solutions—building an end-to-end loan eligibility model as a Data Science Intern, and delivering two machine learning/generative AI products outside of work, including a symptom-to-diagnosis system reaching 75% accuracy.
Experience
Work history, roles, and key accomplishments
Validate shipment tracking data to support real-time global supply chain visibility and maintain data accuracy standards for global stakeholders and operations teams. Use SQL-based root cause analysis to resolve data quality issues and investigate shipment data gaps to improve visibility reporting, SLA adherence, and process outcomes.
Data Quality Associate
Logward
Apr 2024 - Apr 2026 (2 years)
Validate 10,000+ shipment records per cycle using SQL checks to reduce reporting errors and maintain platform data integrity across logistics workflows. Build KPI dashboards, perform SQL root cause analysis on reporting anomalies, and monitor logistics KPIs (delivery SLAs, shipment accuracy, throughput) to enable proactive corrective action.
Data Science Intern
EISystems Technologies
May 2023 - Jun 2023 (1 month)
Built a loan eligibility prediction model by executing a full ML pipeline, including data cleaning, feature engineering in Python, and model evaluation. Presented performance metrics and deployment recommendations to stakeholders in business language.
Education
Degrees, certifications, and relevant coursework
Christ (Deemed University)
Bachelor of Technology (B.Tech), Computer Science Engineering
2020 - 2024
Completed a B.Tech in Computer Science Engineering at Christ (Deemed University), Bengaluru from 2020 to 2024.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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