Nawal Haque

Analytical and motivated recent graduate with a strong foundation in biotechnology and data analytics. Experienced in conducting scientific research, developing predictive models, and building insightful data visualizations using tools like Python, SQL, and Power BI. Adept at both technical analysis and hands-on work, with proven customer service skills from managing daily operations at a family-run car wash. Creative, resourceful, and quick to adapt—driven to contribute meaningfully in both data-driven and client-facing environments.

Data Analytics Projects

SQL Analysis: Executed queries on synthetic Netflix data to analyze subscriptions and retention; proposed churn mitigation strategies. Explored academic trends in student performance datasets and evaluated supermarket sales, customer behavior, and branch performance for reporting insights.

Data Cleaning & Transformation: Standardized datasets for Laptop Price Analysis, visualizing pricing by brand/specs. For a FIFA 21 dataset, engineered features like value-to-wage ratio and created strategic visualizations.

Machine Learning & Predictive Modeling: Built and evaluated models (Random Forest, SVM) in a Geochemical Soil Analysis with 89.8% accuracy. Predicted prices in NYC House Price using multi-year data; improved RMSE and R2. Assessed robustness of Text Classifiers using DistilBERT vs. Naive Bayes under adversarial testing.

Image & Text Data: Developed CNNs for Fashion Image Classification, improving accuracy with hyperparameter tuning and augmentation. Analyzed arXiv Citation Networks using NetworkX to detect communities and highlight influential research.

Undergraduate Research Experience Sept 2022 – Aug 2023 Queen’s University – Biology & Biochemistry Department

Gained hands-on experience in experimental design, data collection, and analysis through animal physiology, biochemistry, and data analytics for biologists’ lab courses.

Conducted experiments on metabolic rate, nitrogen excretion, and metabolite detection using spectrophotometry and respirometry tools. Performed protein quantification, enzymatic activity analysis (Km, Vmax), and plasmid DNA extraction with electrophoresis.

Analyzed and interpreted novel datasets; wrote detailed scientific reports (Materials & Methods, Results) with figures and proper documentation.

Carwash Attendant June 2020 – 2022 HNR Green Carwash, Cornwall, Ontario

• Exercised organizational management skills in day-to-day operations such as sales collection, cleaning of bays, and maintaining supply of raw materials.

Honours Bachelor of Science – Biotechnology

Queens University, Kingston, ON

Queens University Excellence Scholarship (2019), Schulich Leader Nominee

Cumulative GPA: 3.3

Certificate in Data Analytics

Queens University, Kingston, ON

• Certificate GPA: 3.7