Muniba Siddque

Detail-oriented and analytically rigorous Statistics graduate with hands-on, applied experience in statistical analysis, large-scale data cleaning, quantitative reporting, and academic instruction. Currently contributing to national-level statistical operations as a Statistician Intern at the Pakistan Bureau of Statistics, where responsibilities span data preprocessing, inferential and descriptive analysis of socioeconomic datasets, and the design of stakeholder-facing reporting dashboards. Complements this practical government-sector experience with over two years of independent tutoring in core statistics topics, demonstrating a strong ability to communicate technical and quantitative concepts clearly to diverse audiences.

Proficient in SPSS and Microsoft Excel, with a demonstrated track record of translating complex, messy datasets into clean, actionable, decision-ready insights. Known among colleagues and students alike for precision, patience, and a methodical approach to problem-solving, Muneeba combines academic rigor with real-world practicality — consistently looking for ways to make data cleaner, reporting faster, and statistical concepts easier to grasp for non-specialist stakeholders.

Statistician — Internship - Pakistan Bureau of Statistics - Lahore, Pakistan

(2025-07)

• Improved data integrity by conducting systematic cleaning and preprocessing of large-scale government datasets using SPSS and Excel, reducing data inconsistencies by an estimated 30% across quarterly submissions.
• Standardized data-validation checkpoints across multiple survey rounds to catch inconsistencies before they propagated downstream.
• Coordinated with data-collection teams to resolve recurring entry errors at the source.
• Applied inferential and descriptive statistical techniques to analyze socioeconomic datasets, producing findings that directly informed 2 internal policy-support reports submitted to senior management.
• Translated raw survey output into clear, decision-ready summaries for non-technical stakeholders.
• Designed and maintained reporting dashboards that visualised key statistical indicators, decreasing manual reporting time by approximately 25% and enhancing clarity for cross-departmental stakeholders.
• Built repeatable Excel-based templates so dashboards could be refreshed quickly each reporting cycle.

Statistics Tutor — Part-Time - Self-Employed / Private Tutoring - Lahore, Pakistan

• Delivered one-on-one and small-group instruction in core statistics topics including probability, regression analysis, and hypothesis testing, improving student assessment performance by an average of 20%.
• Adapted teaching pace and explanations to each student's background, from first-time learners to those preparing for advanced coursework.
• Developed custom study materials and practice problem sets aligned with university syllabi, reducing students' preparation time while increasing conceptual clarity and exam readiness.
• Created worked-example banks covering common exam question types, organized by topic and difficulty.
• Guided students through SPSS-based assignments and data interpretation tasks, building practical analytical skills applicable to research and professional settings.
• Walked students through end-to-end analysis workflows — from data entry to output interpretation — to build confidence with real datasets.

BS - Statistics - Lahore College for Women University (2022 - 2026)