About me

 

Hello! I'm Sunehra Tazreen, a fresh graduate from McMaster University in Hamilton, Ontario, Canada, with a Bachelor of Commerce specializing in Data Analytics and a Minor in Economics. I'm passionate about transforming raw data into meaningful insights for smarter business decisions.

This portfolio showcases my data analytics skills, from Excel and Python to SQL and Tableau, demonstrating my abilities through real-world inspired projects. I'm excited to combine technical skills with business strategy, uncovering patterns that create real impact. 

Now I'm looking for opportunities to apply the data analytics skills I have developed through academics and hands-on projects in a professional setting, where I can contribute to impactful decision-making and continue to grow as an analyst.

To view my resume, click here to download the full document which includes my transferrable skills and work experience.

Resume Of Sunehra Pdf
PDF – 220.0 KB 13 downloads

Relevant Coursework

 

  • COMM 1DA3 – Business Data Analytics: Introduction to data-driven decision-making using fundamental analytics tools and techniques.

  • COMM 2DA3 – Decision Making with Analytics: Application of quantitative models to optimize managerial decisions.

  • COMM 3DA3 – Predictive Analytics: Use of statistical methods and machine learning techniques to forecast business outcomes.

  • COMM 3KE3 – Management of Enterprise Data Analytics:  
    Principles of database modeling, design, and administration for efficient data storage and retrieval.

  • COMM 3KD3 – Database Design & Management : Hands-on experience managing and querying enterprise data with SQL.

  • COMM 3FN3 – Big Data in Finance: Exploration of big data applications in financial markets, risk assessment, and investment strategies.

  • COMMERCE 3FD3 – Financial Modelling using Excel & Python:
    Data-driven financial modelling, forecasting, & business problem solving.

  • COMM 2KA3 – Information Systems in Management: How information systems support organizational strategy, operations, and decision-making.

  • MATH 1M03 - Calculus: Foundational concepts in limits, derivatives, integrals, and optimization methods applicable to statistics and modeling.
  • ECON 2H03 - Intermediate Macroeconomics: Applied data interpretation, forecasting, and trend analysis to evaluate economic outcomes.
  • INNOVATE 1Z03 - Artificial Intelligence: examined AI applications, data-driven solutions, and emerging trends through industry expert insights

My Data Analytics Skills

Excel

  • Built PivotTables to analyze regional sales performance and profitability.

  • Automated repetitive reporting tasks using VBA.

  • Conducted profitability analysis across multiple years of retail data.

SQL

  • Designed and implemented a relational database for Cineplex ticketing and customer insights.

  • Created ER diagrams and relational schemas for structured data management.

  • Wrote advanced queries with JOINs, aggregations, and filtering to analyze sales, customer patterns, and movie trends.

JMP

  • Conducted consumer preference analysis on dental hygiene behaviors.

  • Applied statistical analysis to identify demographic patterns.

  • Interpreted results to support targeted marketing strategies.

Python

  • Performed data cleaning, feature engineering, and transformation.

  • Built regression and classification models (Logistic Regression, kNN).

  • Used cross-validation, RMSE, and R² to evaluate predictive models.

  • Applied analytics in retail, housing, and healthcare datasets.

SAS Viya

  • Applied clustering techniques to segment banking customers.

  • Built logistic regression and decision tree models for loan approval prediction.

  • Delivered actionable insights for customer segmentation and credit decisions.

RStudio

  • Used lpSolve for optimization and resource allocation modeling.

  • Developed production simulations to evaluate manufacturing scenarios.

  • Created visualizations with ggplot2 to communicate results.

Machine Learning

  • Designed models for healthcare fraud detection using millions of records.

  • Tested Logistic Regression, Naïve Bayes, Random Forest, Extra Trees, and Gradient Boosting.

  • Achieved 94% accuracy and 72% AUC with Random Forest, demonstrating real-world fraud prevention potential.

Tableau

  • Built interactive dashboards to visualize global COVID-19 spread.

  • Analyzed time-series trends and country-level comparisons.

  • Delivered clear, visual storytelling for policymakers and stakeholders.

Mailchimp

  • Designed and executed a digital marketing campaign simulation (PulseSync project).

  • Integrated Excel-based analysis to track engagement and ROI.

  • Measured campaign performance with open rates, click-through rates, and conversions.

  • Created reports and presentations in PowerPoint to showcase results.

Medical Insurance Fraud Detection

 

One impactful project was Medical Insurance Fraud Detection, where machine learning models were applied to millions of healthcare records. The analysis uncovered fraud patterns with high accuracy, showing the potential to save billions in healthcare costs.

This project strengthened my ability to work with big data, feature engineering, and model evaluation, while also teaching the importance of balancing accuracy with recall to address real-world risks.

Project Approach

 

Every new data analysis project begins with understanding the business problem and defining clear objectives. I then focus on data collection, cleaning, and exploration to ensure quality and reliability. Using the right tools and techniques, I apply statistical methods, visualization, and predictive modeling to uncover meaningful patterns.

Finally, I translate results into actionable recommendations with clear visualizations and concise storytelling, ensuring stakeholders can make informed decisions.

Let's connect!

 

I'm actively seeking full-time opportunities, where I can apply my skills, grow professionally, and contribute to data-driven solutions. I bring strong communication skills to explain technical findings in simple, actionable terms. My teamwork and collaboration experience includes working on group projects where we divided tasks, integrated results, and presented insights effectively. I emphasize problem-solving and critical thinking, approaching each dataset with curiosity and structure to uncover hidden trends. I am also highly adaptable and detail-oriented, ensuring accuracy while meeting deadlines in fast-paced environments.

 

💬 I’d love to connect — whether it’s to discuss opportunities, share ideas, or have a coffee chat.


📧 Contact: sunehratazreen@gmail.com

 

👉 Learn more about my journey on LinkedIn: https://www.linkedin.com/in/sunehra-t/