Wajeeha Khalid

MSc Data Science graduate with Distinction and 1.5+ years of combined hands-on experience across data analytics, statistical modelling, software QA, teaching, and programming mentorship. Skilled in Python, SQL, Power BI, Tableau, Excel, PostgreSQL, pandas, NumPy, scikit-learn, data cleaning, exploratory data analysis, dashboard development, regression, classification, clustering, and model evaluation. Experienced in turning large datasets into actionable insights, validating data quality, building clear visual reports, and communicating technical findings to both technical and non-technical stakeholders.

Data Analyst / Data Science Associate at Academic & Independent Analytics Projects (2024-01 – 2025-09)

Completed 1.5+ years of hands-on analytics and data science work through MSc projects, independent analysis, and applied business datasets.

• Analysed structured and semi-structured datasets using Python, SQL, pandas, NumPy, Excel, and statistical methods to identify trends, data quality issues, and business insights.
• Performed data cleaning, transformation, validation, exploratory analysis, and feature preparation before modelling and reporting.
• Built regression and clustering models, including multivariable regression, K-Means, K-Means++, and DBSCAN, to support health-risk analysis and customer segmentation use cases.
• Created clear visual reports and dashboard-ready outputs using Matplotlib, Power BI, Tableau, and Excel to communicate findings to technical and non-technical audiences.
• Used Git, GitHub, and Jupyter Notebook to maintain reproducible analysis, project documentation, and version-controlled code.

Junior Software QA at Beacon Tutors International (2024-05 – 2024-08)

• Designed and executed systematic test plans for internal CRM workflows, applying analytical thinking to identify, reproduce, and document defects.
• Created structured test cases, defect logs, and bug reports, strengthening attention to data quality, process accuracy, and validation evidence.
• Worked with Agile teams during sprint planning, iterative delivery, retesting, and documentation of software issues and fixes.

Teaching Assistant - Stochastic Processes at FAST National University of Computer and Emerging Sciences (2024-01 – 2024-06)

• Delivered technical support in statistical and probabilistic modelling, including Markov chains, random variables, and Poisson processes.
• Explained complex quantitative concepts clearly to undergraduate students, improving communication with non-specialist audiences.
• Supported grading, assessment, feedback, and academic documentation for assignments and examinations.

Programming Mentor - Java at TeacherOn (2023-12 – 2024-03)

• Provided one-to-one online mentoring in Java, object-oriented programming, debugging, and problem-solving fundamentals.
• Adapted technical explanations to learner needs and helped students build strong programming and analytical thinking foundations.

MSc in Data Science – University of Essex (2024-10 – 2025-10)