Zara Naeem
Auckland,New Zealand
Summary
Analytical professional with a Master's in Analytics specializing in statistical modeling and data analysis. Delivered insights and actionable recommendations through a client-focused analytics project. Translated complex data into clear solutions that enhance strategic decision-making. Ready to leverage time management and organizational skills to drive company growth.
Overview
4
4
years of professional experience
Work History
Industry Analytics Project
Mainfreight
Auckland, New Zealand
02.2026 - 06.2026
- Completed client-facing analytics project for Master of Analytics dissertation, providing actionable insights to stakeholders.
- Worked with confidential business data under an NDA, preparing and analysing monthly operational data while protecting sensitive information.
- Combined internal business data with public external indicators and built a time-series workflow covering cleaning, transformation, lagged features, model comparison and reporting.
- Delivered comprehensive client report and presentation outlining recommendations, limitations, and actionable next steps to enhance decision-making.
- Auckland University of Technology
Retail Assistant / Customer Service
The Athlete's Foot
Dunedin, New Zealand
11.2024 - 02.2025
- Guided customers in footwear selection and sizing, enhancing in-store experience and satisfaction.
- Maintained store presentation and replenished stock, facilitating smooth operations during peak trading periods.
- Assisted customers in selecting appropriate footwear and sports apparel.
- Maintained store displays to ensure a visually appealing shopping environment.
- Processed customer transactions using the point-of-sale system efficiently.
Data Analyst and Enrolment Specialist
Education Perfect
Dunedin, Dunedin
11.2022 - 08.2023
- Cleaned, verified, and uploaded enrolment data in Excel and to ensure accurate platform setup.
- Analyzed student performance data to identify learning trends and patterns.
- Assisted users with platform issues and troubleshot technical problems via email and phone to enhance user experience.
- Managed customer enquiries while maintaining accurate and up-to-date data records to support efficient operations.
Education
Master of Analytics -
Auckland University of Technology
07-2026
Bachelor of Science - Information Science
University of Otago
11-2024
Skills
- Data analysis
- Statistical analysis
- Machine learning
- Predictive analytics
- Time series forecasting
- Data cleaning
- Data visualization
- Excel
- SQL
- R
- Python
- SAS
- MySQL
- Jupyter Notebook
- RStudio
- R Markdown
- LaTeX
- Regression
- Model validation
- Model diagnostics
- Correlation analysis
- Feature engineering
- ARIMA
- ARIMAX
- ETS
- Random forest
- Star schema design
- Business analytics
- Database management
- Client reporting
- Data presentation
- Analytical thinking
- Problem solving
- Critical thinking
- Decision-making
- Attention to detail
- Teamwork
- Client support
- Independent learning
- Issue troubleshooting
- Data troubleshooting
- Project planning
- Client engagement
- Communication skills
- Clear communication
- Time management
- Dependable and responsible
- Relationship building
- Dependable and responsible
- Relationship building
Awards
- Otago 150th Entrance Scholarship
- Waikato Te Kanaga Scholarship
Languages
- English
- Urdu
- Hindi
- Punjabi
Data Skills
- Regression and testing
- Model diagnostics
- Correlation analysis
- Feature engineering
- ARIMA and ARIMAX
- ETS and Holt-Winters
- Random forest
- LSTM
- Star schema design
- Oracle SQL reporting
Projects
- Machine Learning and Forecasting, Built regression, classification, clustering, PCA, random forest, MLP and LSTM models using Python, scikit-learn, TensorFlow and Keras. Cleaned biological, environmental and time-series datasets for prediction, pattern discovery and model evaluation using RMSE, MAE and R².
- Data Warehousing and Data Analysis, Designed and implemented a star schema data warehouse in Oracle SQL with fact and dimension tables. Wrote SQL queries using joins, grouping, rollups and top-N ranking. Analysed large open datasets using R and SQL-based workflows, with a focus on climate, agriculture, GDP and CO₂ emissions data.
- Advanced Statistics and Health Data Analysis, Applied multiple regression, Poisson regression, negative binomial regression, ANCOVA, Bayesian regression, quantile regression, confidence intervals, randomisation testing and model diagnostics using SAS and R. Analysed health-related datasets including Framingham Heart Study and chronic kidney disease data.
- Optimisation and Operations Research, Formulated and solved linear programming and nonlinear optimisation problems using SAS and MATLAB. Applied Simplex, KKT conditions, steepest descent, exact line search and SAS PROC OPTMODEL. Contributed to an operational staffing optimisation case study using staff and contact data.
- Financial and Mathematical Modelling, Applied Black-Scholes option pricing, Greeks analysis, Monte Carlo simulation, ARIMA, ARIMAX, exponential smoothing, queueing theory, numerical methods and simulation across financial, operational and forecasting projects.
- Software and AI Projects, Developed a real-time sign language recognition system using keypoint detection and LSTM-based action recognition. Built CNN and transfer learning models for brain tumour detection from MRI images. Contributed to web app projects using Python, JavaScript, HTML, CSS, Node.js, Express.js, SQL, React.js and MySQL.
Timeline
Industry Analytics Project
Mainfreight
02.2026 - 06.2026
Retail Assistant / Customer Service
The Athlete's Foot
11.2024 - 02.2025
Data Analyst and Enrolment Specialist
Education Perfect
11.2022 - 08.2023
Master of Analytics -
Auckland University of Technology
Bachelor of Science - Information Science
University of Otago