Pardis Hosseinpouraghdam

Collect and analyse platform data to identify trends and patterns; developed regular insight reports and visualisations for stakeholders.

Developed an RFM model and K-Means clustering algorithm using Python to segment ~10,000 customers and identify high-risk churn groups. Built and benchmarked multiple machine learning models, and designed interactive Tableau dashboards to present behavioral insights to stakeholders. Developed and maintained Tableau dashboards to visualize key performance indicators, enabling faster insight generation and more effective data-driven decision-making.

• Designed and implemented a real-time Online Charging System (OCS) handling thousands of telecom transactions daily, achieving sub-second response times and reducing billing errors by ~35% based on QA reports. • Collaborated with stakeholders during agile sprints to capture and document technical requirements, reducing clarification loops by ~45% (based on sprint retrospectives) and contributing to a 1–2 day improvement in feature delivery timelines. • Refactored and optimized over 20 PL/SQL procedu

• Conducted in-depth analysis of 10+ key business processes, leading to workflow recommendations that cut task repetition and reduced internal turnaround times by an approximately 15%. • Developed detailed technical documentation from 10+ client meetings, cutting developer clarification requests by nearly 25% and speeding up feature delivery by 1-2 days over two major product sprints. • Produced structured reports supporting three key internal initiatives, including a product development plan project