Naeem
Quantitative Research and Statistical Modeling Expert
Kompetenzen
Meine Dienstleistungen


Arbeitserfahrung
Assistant Professor
Modern College of Business and Science • Vollzeit
Dec 2022 - Present • 3 yrs 10 mos
1. Faculty Workload Analytics for University Accreditation HR & Academic Data Science Designed and implemented a comprehensive faculty workload analysis system for a higher education institution. Computed workload balance across academic ranks (Lecturer to Professor) and semesters using R, with automated visualizations and statistical reporting. Delivered accreditation-ready insights that supported institutional quality assurance and NBEAC documentation review. 2. Faculty & Student Satisfaction Survey Analysis Survey Research & Institutional Analytics Conducted end-to-end statistical analysis of faculty and student satisfaction surveys, processing multi-year data across demographics (gender, program, nationality, academic level). Built 64+ cross-tabulated summary tables with automated Excel reporting and integrated scatter plots. Transformed raw survey responses into actionable institutional insights for data-driven decision making. 3. Automated CV Data Extraction from 800+ Resumes Python NLP & Data Engineering Developed a Python-based pipeline to extract structured data from 800+ CVs for a school in Muscat. Automated extraction of candidate education history, university names, and qualifications from unstructured documents. Delivered clean, analysis-ready datasets that eliminated manual data entry and enabled rapid candidate profiling. 4. Sentiment Analysis Using VADER Text Analytics & NLP Performed sentiment analysis on textual datasets using VADER (Valence Aware Dictionary and sEntiment Reasoner) in Python. Delivered polarity scores, emotion classification, and trend visualizations to support qualitative research. Ideal for social media monitoring, review analysis, and academic text mining projects. 5. Interdisciplinary Research Methodology & Data Analysis Academic Research Support Provided complete data analysis and methodological support to faculty in Language and Psychology departments. Designed analytical frameworks, selected appropriate statistical technique