Ayesha Junaid

A junior data analyst and scientist with strong expertise in data analysis, ETL pipelines, and machine learning. Skilled in SQL, Python, Power BI, and Excel to extract actionable insights and build interactive dashboards. Proven ability to analyze sales, customer churn, HR turnover, and healthcare admission data to recommend data-driven strategies that improve business outcomes.

Experienced in end-to-end data processing, feature engineering, model training, and visualization. Adapt leveraging statistical modeling and computer vision techniques to solve complex problems.

Technical Research Analyst at Divinatory Solutions (2026-03 – Present)

• Turned raw data into actionable insights during designing of surveys and experiments.
• Cleaned and analyzed results through Excel (pivot tables, Power Query, dashboards), SPSS (regressions, ANOVA, reliability tests), and Python (pandas, matplotlib/seaborn and scikit-learn).
• Documented workflows, validated findings and presented clear visualizations to help stakeholders make quick data-driven decisions.

Data Science Intern at CODSOFT (2020-02 – 2020-03)

• Executed end-to-end ETL pipelines and trained ML models on datasets: Titanic Survival Prediction, Iris Classification, Car Price Prediction.
• Handled data cleaning, feature engineering, model selection, hyperparameter tuning, evaluation, and visualization to derive predictive insights.

MS in Data Science – NED UNIVERSITY OF ENGINEERING AND TECHNOLOGY (2025-01)

BE in Biomedical Engineering – NED UNIVERSITY OF ENGINEERING AND TECHNOLOGY (2021-01 – 2025-12)