SHAHAB AFROUZEH

Designed and delivered Sparki's end-to-end analytics ecosystem, covering ingestion, storage, modeling, reporting, and KPI management to ensure comprehensive data utilization.

Architected ASP.NET (C#)-based ETL frameworks and API-to-database integrations, automating real-time data ingestion and reporting processes.

Directed third-party technology partners on Microsoft Fabric and centralized data lake implementation, ensuring scalability and reliability of reporting infrastructure.

Developed executive and operational Power BI dashboards, tracking key metrics like charger usage, uptime, downtime trends, kWh consumption, and subscription behavior.

Reduced manual reporting efforts by enabling automated real-time monitoring and self-service analytics across 100+ charging units, significantly improving efficiency.

Defined board-level KPIs for operational efficiency, installation progress, uptime performance, and financial ROI analysis, guiding strategic decision-making.

Served as the strategic liaison between business stakeholders and technical teams, ensuring alignment of scalable analytics solutions with operational and commercial goals.

Introduced forecasting and predictive analytics models in Power BI, improving stock accuracy and reducing product shortages.

Delivered weekly executive-level reports on customer demand, pricing performance, product trends, and operational KPIs, informing key business decisions.

Defined KPIs across product categories, improving inventory control and increasing promotional ROI by approximately 15%.

Collaborated with external technology and data partners to enhance reporting consistency and overall business visibility.

Directed multi-stakeholder projects focused on automated Power BI reporting and Python-based analytics pipelines, ensuring efficient data delivery.

Improved report delivery time by 50% through workflow automation and reporting optimization initiatives, significantly boosting operational efficiency.

Developed executive-level dashboards and visual decision-making tools utilized by senior public sector, security, and operational stakeholders for critical decision support.

Introduced automation strategies that reduced analyst workload by approximately 30%, increasing capacity for strategic analysis and improving resource allocation.

Managed data governance and reporting quality control across projects, impacting over 10 operational departments and ensuring data integrity.

Developed data models, improving visualization accuracy and reporting quality by over 90% for critical operational insights.

Supported predictive analytics and risk assessment projects, contributing to strategic planning and operational decision-making processes.

Handled ad-hoc reporting and analysis requests, providing timely support for management briefings and operational planning.

Collaborated with IT engineers on data ingestion, Oracle database integration, and reporting automation initiatives to streamline data workflows.

Designed end-to-end test cases for web and mobile applications, reducing post-launch defects by approximately 65%.

Improved collaboration with development teams, accelerating project timelines by approximately 20% through streamlined processes.

Managed bug tracking, sprint documentation, and testing processes, supporting efficient software delivery cycles.

Ensured compliance with SDLC standards and software quality assurance best practices, maintaining high product quality.

Monitored network traffic and analyzed security logs to identify and mitigate operational issues, enhancing system security.

Supported network configuration, firewall troubleshooting, and security protocol maintenance, ensuring continuous network functionality.

Assisted with LAN/WAN setup, infrastructure support, and basic server administration, contributing to overall system reliability.