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Sandra Azuka Email: EMAIL AVAILABLEsnzuk linkedIn Mobile: PHONE NUMBER AVAILABLEEDUCATIONNnamdi Azikiwe UniversityBachelor of Science (HONORS) - Computer Science Jan., Street Address  - Nov., 2009SKILLS SUMMARYLanguages: SQL, PythonFrameworks: Pandas, NumpyTools: Excel, Power BI, Tableau, IBM Cognos Analytics,Google Looker StudioPlatforms: Windows, Linux, Jupyter Notebook, Visual Studio CodeSoft Skills: Report Building, Stakeholder management, Excellent Communication, CollaborationWORK EXPERIENCEBUSINESS ANALYST INTERN Jan., 2024 - March 2024Streamlined 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.PROJECTSStudent Performance Prediction Dec., 2023 - Feb., 2024Achieved 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., 2023Developed 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 2023Orchestrated 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.CERTIFICATIONSIntroduction to Data Analytics (IBM) Certificate March 2024Learned about the data ecosystem, including ETL process and big data basics.Mastered data gathering, identification, modeling and cleaning to ensure analytical readinessIntroduction to Excel Basics (IBM) Certificate June 2024Performed 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 2024Created 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.