Data Analyst Business

Sandra Azuka Email: ************@*****.***

snzuk linkedIn Mobile: +1-323-***-****

EDUCATION

Nnamdi Azikiwe University

Bachelor of Science (HONORS) - Computer Science Jan., 2003 - Nov., 2009

SKILLS SUMMARY

●Languages: SQL, Python

●Frameworks: Pandas, Numpy

●Tools: Excel, Power BI, Tableau, IBM Cognos Analytics,Google Looker Studio

●Platforms: Windows, Linux, Jupyter Notebook, Visual Studio Code

●Soft Skills: Report Building, Stakeholder management, Excellent Communication, Collaboration

WORK EXPERIENCE

BUSINESS ANALYST INTERN Jan., 2024 - March 2024

●Streamlined data collection and reporting procedures, reducing processing time by 20% and enhancing efficiency.

●Implemented process improvements and automation solutions, resulting in 15% increase in productivity.

●Collaborated with 3+ cross functional teams to gather requirements, define project scopes, and ensure alignment with business objectives, fostering effective teamwork and project success.

●Produced 15+ comprehensive reports and presentations summarizing findings and recommendations, facilitating clear communication with stakeholders and driving actionable outcomes.

●Conducted in-depth market research and analysis, resulting in the identification of 10+ key trends and insights that informed strategic decision making processes.

PROJECTS

Student Performance Prediction Dec., 2023 - Feb., 2024

●Achieved a 96% accuracy in forecasting student academic performance by developing and deploying a machine learning model.

●Managed data integrity by handling missing and encoding categorical variables, enhancing quality by 33%.

●Conducted experiment with both classification and regression algorithms to identify the most suitable approach.

●Identified and comprehended key factors influencing academic performance through thorough analysis.

Credit Card Fraud detection Sept., 2023 - Oct., 2023

●Developed and fine-tuned a logistic regression-based machine learning model achieving an 87% accuracy rate in predicting credit card fraud.

●Minimizing false positives by 16% through rigorous feature engineering and hyperparameter tuning process.

●Implemented under-sampling and ensemble techniques to address class imbalance, leading to 15% improved performance.

●Successfully mitigated fraudulent transactions while optimizing model efficiency by 23% and accuracy by 6%.

Heart Disease Prediction July 2023 - August 2023

●Orchestrated the development of a Logit model to predict heart disease, achieving an impressive accuracy rate of 91% and surpassing industry benchmarks.

●Spearheaded the implementation of HIPAA-compliant data encryption protocols across all healthcare solutions, decreasing data breach incidents by 40% and ensuring patient privacy and security.

●Demonstrated commitment to ethical data practices while contributing to the development of data-driven healthcare solutions.

●Enhancing healthcare outcomes by 26% through accurate prediction of heart disease, positively impacting patient well-being.

CERTIFICATIONS

Introduction to Data Analytics (IBM) Certificate March 2024

●Learned about the data ecosystem, including ETL process and big data basics.

●Mastered data gathering, identification, modeling and cleaning to ensure analytical readiness

Introduction to Excel Basics (IBM) Certificate June 2024

●Performed basic spreadsheet tasks including navigation, data entry, and using formulas.

●Employed data quality techniques to import and clean data in Excel.

●Analyzed data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Data Visualization & Dashboard Essentials (IBM) Certificate June 2024

●Created basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

●Constructed advanced charts and visuals e.g. Treemaps, Sparklines, Histogram, Scatter Plots, Filled Map Charts.

●Build and share interactive dashboards using Excel and Cognos Analytics.

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