I’m Namra Naseem, a data and analytics professional focused on building predictive models, running experiments, and turning complex datasets into decision-ready insights. I’ve worked across product analytics, fraud/healthcare analytics, and telecom business strategy, and I enjoy using statistics and machine learning to identify the “what” and “why” behind performance. Currently at Noon (Social Learning Platform), I lead analysis and execution across ETL pipelines and executive dashboards, and I’ve delivered improvements in learning outcomes, engagement, and reporting speed for thousands of users. I also enjoy partnering with cross-functional teams to consolidate data into a source of truth, and leveraging LLM/AI automation to scale teacher and student insights—always with a clear, measurable impact mindset.

Namra Naseem

I’m Namra Naseem, a data and analytics professional focused on building predictive models, running experiments, and turning complex datasets into decision-ready insights. I’ve worked across product analytics, fraud/healthcare analytics, and telecom business strategy, and I enjoy using statistics and machine learning to identify the “what” and “why” behind performance. Currently at Noon (Social Learning Platform), I lead analysis and execution across ETL pipelines and executive dashboards, and I’ve delivered improvements in learning outcomes, engagement, and reporting speed for thousands of users. I also enjoy partnering with cross-functional teams to consolidate data into a source of truth, and leveraging LLM/AI automation to scale teacher and student insights—always with a clear, measurable impact mindset.

Available to hire

I’m Namra Naseem, a data and analytics professional focused on building predictive models, running experiments, and turning complex datasets into decision-ready insights. I’ve worked across product analytics, fraud/healthcare analytics, and telecom business strategy, and I enjoy using statistics and machine learning to identify the “what” and “why” behind performance.

Currently at Noon (Social Learning Platform), I lead analysis and execution across ETL pipelines and executive dashboards, and I’ve delivered improvements in learning outcomes, engagement, and reporting speed for thousands of users. I also enjoy partnering with cross-functional teams to consolidate data into a source of truth, and leveraging LLM/AI automation to scale teacher and student insights—always with a clear, measurable impact mindset.

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Work Experience

Lead Data Analyst at Noon - The Social Learning Platform
April 1, 2025 - Present
Developed predictive models (decision trees, random forests, clustering) to identify at-risk cohorts and validate results using ANOVA and ROC analysis, supporting targeted interventions that improved end-of-course progression by 25%. Designed and analyzed A/B tests for practice tool features, selecting success metrics to guide feature prioritization and personalized learning outcomes for 2,000+ students. Managed a team of 3 analysts to build ETL pipelines using Airbyte, BigQuery, and dbt, delivering executive dashboards across 5 product programs and reducing report latency by 50%. Directed cross-functional work to consolidate fragmented data programs into a single source of truth and produced forecasting analyses that contributed to a 20% increase in engagement. Engineered an AI/LLM-powered tool that converts raw session data into structured teacher-performance insights for 50+ teachers and automated student summaries at scale, reducing analyst turnaround time by 60%.
Graduate Research Assistant - Healthcare Analytics at UCLA
May 1, 2024 - December 31, 2024
Built a predictive risk-scoring model with improved accuracy by 23% through feature engineering and statistical modeling in Python. Strengthened robustness across diverse populations using regularization and cross-validation, improving accuracy an additional 11%.
Expert Business Analyst at Jazz (Pakistan's largest telecom)
January 1, 2021 - September 30, 2023
Led a cross-functional data monetization project in the financial sector, expanding services to 600+ branches and increasing offerings across 12 cities. Developed a customer segmentation model for the Multiplay segment, driving 35% segment growth across Jazz 4G and digital customers. Identified engagement opportunities using analytics support, contributing to 13.5% annual sales growth. Built a 5-year prescriptive analytics roadmap to enable data-driven decision making, driving a threefold increase in digital platform engagement and user base. Owned stakeholder management and competitive analysis using consumer insights and market trends, contributing to approximately $1.7M in quarterly revenue. Created automated KPI monitoring dashboards in Tableau for Multiplay, driving 10% quarterly growth in the digital base.
Data Analyst at Open Data Pakistan
May 1, 2020 - January 31, 2021
Analyzed datasets from PBS, Gallup, and The World Bank to deliver economic and demographic insights to business and technical stakeholders. Collaborated with CIPL to engineer and implement a real-time crime reporting app, reducing law enforcement response time by 25%.

Education

MS in Business Analytics at University of California, Los Angeles (UCLA)
September 1, 2023 - December 31, 2024
BS in Economics & Mathematics at Lahore University of Management Sciences (LUMS)
August 1, 2016 - June 30, 2020
MS in Business Analytics at University of California, Los Angeles (UCLA)
September 1, 2023 - December 31, 2024
BS in Economics & Mathematics at Lahore University of Management Sciences (LUMS)
August 1, 2016 - June 30, 2020

Qualifications

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Industry Experience

Education, Healthcare, Financial Services, Telecommunications, Government, Professional Services