Min Zhang Ph.D.

Experience

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  The University of Manchester

  Sept 2015 - Dec 2017

  During my PhD training at the University of Manchester, I worked as a quantitative data researcher for the following research project (in a reverse chronological order):1. Parents’ Work Stress and Children’s Health: Evidence from the Millennium Cohort Study2. The Gender Pay Gap in the UK: Evidence from the UKHLS3. Time Use and Class Inequality in Households with Young Children: Evidence from the UK Time UseSurvey4. Gender Pay Gap in the UK5. Social Cohesion and Ethnicity Diversity Research6. Gender Norms in India and Bangladesh,7. Statistically Test Attitudes Over SpaceResponsibilities 1. Built automated processes to merge, manage, interrogate and extract large-scale data 2. Applied statistical techniques to produce solutions to problems  Constructed and maintained employment history and income data 3. Managed and constructed tailored microdata to track how individuals spent time in various everyday activities 4 Prepared and delivered training events for time-series data analysis 5. Collaborated with multidisciplinary teams and senior management to prioritise short-term and long-term goals 6 Produced detailed data documentation and roadmap.Achievements 1. Optimised operational efficiency via the implementation of improved data construction and statistical programming 2. Built a data management tool that manipulates the UK Standard Occupational Classification, saving a significant amount of time for converting and recoding 3. Interrogated time-series data and identified drivers for subgroup differences over time 4. Investigated hieratical data and differentiated level-specific variances using multilevel modelling 5. Created data dashboard and informative maps and visualised data output to show data structure, descriptive and statistical findings 6. Produced brief papers to explain the statistical analysis and data structure to policymakers Show less Introduction of Quantitative Methods (Postgraduate course, GTA) Prepared and delivered practical teaching sessions for 50 studentsDr. Laia Becares’s comment: “Min was very enthusiastic and attentive with the students… would be an asset to a similar course”Longitudinal Data Analysis (Short training, TA)Delivered practical teaching session for 30 adult studentsTrainee’s comment: “very knowledgeable”SPSS for Beginners (Q-Step training, Lecturer)Led tutorial teaching and practical session for 20 studentsStructural Equation Modelling (Postgraduate course, GTA) Delivered practical teaching sessions for 30 studentsDr. Nick Shryane’s comment: “excellent performance in carrying out TA duties.”Introduction of Statistics (Undergraduate course, GTA)Prepared and led tutorial teaching sessions for 160 studentsGlobalization in the Context of Contemporary Britain (Undergraduate course, GTA)Planned, designed and led weekly seminars, grading assessments for 20 studentsDr.James Rhodes’s comment: “thank you for the quality of the feedback you have given on the essays. It is extremely constructive and offers both praise and constructive criticism”Introduction of Data Analysis (Short training, TA)Assisted practical teaching session for 30 adult students Show less

  • Quantitative Research Analyst

    Oct 2014 - Dec 2017

  • Teaching Duties

    Sept 2015 - Nov 2017
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  The University of Salford

  Jun 2016 - Aug 2016

  Statistical Consulting

  Research Project: Leadership Measurement in Different Cultural Contexts,Responsibilities1. Actively engaged with clients and reviewed requirements2. Provided statistical insights and technical support for factor analysis and structural equation modellingAchievements1. Devised and Interpreted statistical methodologies that are tailored for clients’ data and expectation2. Identified challenges and initiated more appropriate and efficient solutions

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  University of Essex

  Jan 2018 - Sept 2019

  Senior Research Officer

  Responsibilities:1. Contributed to research output about areas effects on wellbeing 2. Constructed and maintained automated data processes 3. Manipulated, analysed, and interpreted complex large-scale time-series data sets and geographic data 4. Interpolated and predicted new data points and produce key aggregate indicators 5. Constructed population-based scalable bespoke geographic data 6. Derived and interpolated longitudinally harmonised deprivation measures using census data 7. Linked microdata to administrative data8. Corrected postcodes from survey data and Output Areas records from census data; 9. Develop statistical analysis strategies 10. Implemented longitudinal data analyses including fixed and random effects, correlated random effects, two-way fixed effects; 11. Kept detailed records of project progress, data documentation, and version control 12. Performed data visualisation and data outputAchievements: 1. Identified, evaluated, and implemented external datasets to facilitate data validation 2 Implemented sophisticated longitudinal analysis and causal inference techniques to better address the key identification issues and selection bias which have hindered previous studies 3 Built a data inquiry programming package that quickly extracts records from complex time series data 4 Developed a data output programming package that exports descriptive statistics of time series data to spreadsheets in adjustable format and style. 5 Automated data management procedures to test and correct measurement errors in historical data 6 Prepared and delivered training materials to help audience understand longitudinal data structure, statistical methodologies, and analysis results 7 Built data visualisation programs to produce graphs with greater efficiency Show less

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  University of Cambridge

  Nov 2019 - now

  Research Associate

  1. Produce innovative datasets by extracting data of oversubscription criteria (2020-2021 admission) for over 2000 secondary schools in England in structured and unstructured entries from school and local authority websites, linking to secondary administrative data; 2. Extract geographical data of school catchment from online and offline resources; 3. Document and maintain well-structured records of changes to data and coding;4. Develop programs that verify accurate data input;5. Explore and advise on the most appropriate data management tools and statistical models for data extraction and handling complex datasets; 6. Carry out statistical analysis and spatial analysis; 7. Draft regular research update and data analysis report, contributing to academic publications;8. Liaise with the wider research team who undertake different aspects of research through collaborative activities; 9. Manage own workload and work independently to tight deadlines within the guidelines provided. Show less

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  University of Westminster

  Apr 2021 - now

  Research Fellow