4+ years bridging business and technology — from agile delivery and stakeholder management to data analytics and Python automation. Based in Islamabad.
Business Analyst and Data Science professional with 4+ years of experience across US healthcare and aviation. I specialize in bridging stakeholder requirements and technical delivery — translating complex business needs into actionable specs, managing agile teams, and building Python-powered automation that actually saves time. Currently working with Practice EHR, a US-based healthcare company, where I own requirements, run Jira end-to-end, and keep distributed teams aligned and shipping.
Primary liaison between US-based stakeholders and Pakistan development teams — translating business needs into detailed requirement docs, functional specs, and user stories with clear acceptance criteria.
Full Jira ownership: custom workflows, automation rules, fields, screens, and work types — keeping end-to-end project traceability across all squads.
Built Jira dashboards and sprint reports giving leadership real-time visibility into delivery progress, team velocity, and backlog status.
Facilitated all agile ceremonies including sprint planning, standups, reviews, and retrospectives — keeping cross-timezone teams aligned and on track.
Continuously groomed the product backlog, prioritizing features in close collaboration with product owners and US stakeholders for focused, value-driven sprints.
Coordinated across discovery, design, development, and QA — ensuring requirements were understood and delivered to spec with minimal rework.
AirblueAviation
Revenue Management Data Analyst
February 2023 — March 2025
Managed end-to-end delivery of data and reporting initiatives — coordinating with cross-functional teams to ensure timely, accurate outputs for revenue decisions.
Analyzed booking and pricing data to forecast demand and support pricing strategy; built ML models (regression, classification) for KPI tracking and automated reporting.
Developed a Python bot to fetch, calculate, and benchmark daily airline KPIs against competitors — cutting manual reporting effort significantly.
Designed Tableau and Power BI dashboards for real-time revenue monitoring and capacity planning; received formal management appreciation for automating the Baggage Revenue Management System.
TPL TrakkerInternship
Software Engineer Intern
January 2022 — February 2023
Built internal tools using JavaScript and REST APIs; worked on relational database design and SQL query optimization.
Contributed to scalable system design, API integrations, code reviews, and SDLC documentation alongside senior engineers.
Notable Achievements
🏆
Revenue Management Automation Award — Airblue
Received formal management appreciation for designing and deploying an automated Revenue Management Baggage System, improving operational efficiency.
🎖️
Academic Excellence Award — Air University
Awarded for developing an ML-based skin cancer detection system using the Harvard HAM10000 dataset as a Final Year Project.
Work
Featured Projects
Inbound AI Calling Agent — Practice EHR
Led end-to-end requirements gathering for an AI-powered patient calling agent integrated with the EHR system. Authored functional specs, facilitated UI/UX workshops, wrote user stories, and managed UAT cycles to deliver a streamlined patient intake solution.
Business AnalysisHealthcareEHR IntegrationUAT
AI Scribe for EHR — Practice EHR
Captured full product requirements for an AI-driven medical scribe that auto-generates clinical notes from physician-patient conversations. Defined use cases, coordinated UI/UX design flows, and translated requirements into actionable developer tasks.
Requirements EngineeringClinical WorkflowEHR
Jira-to-GitLab Automated Deployment Pipeline
Designed and implemented an automated deployment workflow that triggers urgent hotfix releases directly from Jira to GitLab CI/CD pipelines via webhooks — cutting critical release time from hours to minutes.
Jira AutomationGitLab CI/CDDevOpsWebhooks
Airline KPI Automation Bot — Airblue
Built a Python automation bot that schedules daily extraction and calculation of core airline KPIs, cross-referencing them against competitor benchmarks. Reduced manual analyst effort by over 70% and enabled faster, data-backed revenue decisions.