Cloud Analytics & BI Solutions Analyst Coachable, US-Ready

Power BI & Tableau

Documentation & Reporting

Houston, TX 77003 ******.*****@*****.*** +1-929-***-**** ABDULLAH ZUHAER

IT Business Analyst Brain Station 23 September 2023 - August 2025 PROFESSIONAL EXPERIENCE

Applied AI/ML services (AWS Comprehend, SageMaker) and Power BI forecasting to deliver data-driven insights and enhance decision-making for clients.

Supported CAPA (Corrective and Preventive Action) initiatives within warehouse and supply chain operations by identifying process gaps, non-conformities, root causes and improvement actions in alignment with QMS standards. Authored and maintained comprehensive internal and external documentation, including project milestones, managed service proposals and Non-Disclosure Agreements (NDAs). Spearheaded pre-sales solutioning by aligning business goals with AWS best practices; contributed to 20+ proposal documents across billing, managed services and cloud migration initiatives that supported a $1M+ pipeline across North America, Europe and South Asia.

Expertise in gathering requirements through joint application developments sessions (JAD), surveys, interviews, questionnaires and presentation walkthroughs with end-users, subject matter experts, clients & business stakeholders. Delivered well-structured Business Requirements Documents (BRDs) and Software Requirements Specifications (SRS), ensuring clarity, completeness, and alignment with Agile development backlogs. Collaborated with developers, UI/UX, QA team and business stakeholders to define user stories, acceptance criteria, and functional specifications tailored to client needs.

·Maintained Jira backlogs, change requests, facilitated sprint ceremonies and stakeholder communication resulting in enhanced project efficiency and quality.

Software Engineer Service Engine BPO Ltd. February 2022 - August 2023 Designed, developed, and customized responsive, mobile-first front-end architectures for ad-tech platforms, ensuring high performance and cross-browser compatibility across Chrome, Firefox, Safari, and Edge. Built reusable, interactive UI components using JavaScript (ES6+), HTML5, and CSS3, incorporating animations and micro-interactions to enhance user engagement and visual consistency. Translated UI/UX designs, wireframes, and prototypes into pixel-perfect, accessible front-end implementations aligned with modern design standards.

Optimized front-end performance through code splitting, asset optimization, lazy loading, and DOM optimization, significantly reducing page load times and improving Core Web Vitals. Conducted code reviews, refactoring, and documentation to maintain front-end code quality, consistency, and long- term maintainability.

PROJECTS & ACHIEVEMENTS

Sheba.xyz(Ecommerce): Contributed as a business analyst and technical coordinator, eliciting requirements from stakeholders and aligning DevOps managed services with Quality Management System (QMS) implementation to ensure efficient delivery. Maintained neat documentation and process-mapping skills to support a cloud cost optimization initiative, coordinating the removal of underutilized AWS resources (idle EC2 instances, S3 buckets, and EBS volumes). This resulted in $6500 USD cost savings, streamlined operations and improved infrastructure efficiency. De Montfort University, Leicester, United Kingdom September 2018 - July 2021 Bachelor of Science (Hons) Information & Communication Technology EDUCATION

SKILLS

Cloud MSP & AWS Services

Use Cases & Process Flows

Agile and Scrum Methodologies

CRM Systems (Salesforce)

SLA Management & Ticketing (Jira)

Root Cause Analysis (RCA)

Microsoft Excel (Pivot Tables,

VLOOKUP, Charts)

User Acceptance Test Cases

Business Requirement Document

Languages: Bengali, English, Urdu

Certifications: Certified Business Analysis Professional (Pursuing), Brain Station 23: Digital Assets Security & Privacy, AWS Partner: Accreditation (Technical)

ADDITIONAL INFORMATION

Healthcare Data Analytics Project: Performed data pre-processing and cleaning on large patient datasets using Python and Excel, handling missing values and standardizing records. Leveraged AWS S3 for secure data storage and AWS Glue for ETL processing to ensure clean, structured datasets. Designed interactive Power BI dashboards to visualize patient visits, treatment outcomes and resource utilization, improving data accuracy by 40% and reducing manual reporting time.

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