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Title Machine Learning Data Analyst
Target Location US-TN-Clarksville
Email Available with paid plan
Phone Available with paid plan
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STATUS: GC-EADClarksville, TN 37040 PHONE NUMBER AVAILABLE EMAIL AVAILABLE WWW: Bold Profile SUMMARYHighly-motivated employee with desire to take on new challenges. Strong worth ethic, adaptability and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills. SKILLSSASRPythonJavaSQLHTMLNoSQLApache SparkExcelTableauPower BIBig DataData ETLMachine learningMySQLAzureAWS cloud practitionerCloud knowledgePractical Leadership skillsStrong interpersonal andcommunication skillsEffective strategic and organizationalskillsExcellent time managementExcellent writing and presentationskillsPROFESSIONAL EXPERIENCE01/2023 to Current Graduate AssistantAustin Peay State University Clarksville, TNDeveloped strategies to enhance student engagement within the classroom setting. Analyzed data to assist professors with various projects. Tutored or mentored students in need of additional instruction. 05/2023 to 08/2023 Software Engineering InternMuzedata Manassas, VACollaborated with cross-functional teams to develop, test, and deploy high quality software solutionsConducted code reviews and provided constructive feedback to team members Resolved software defects and implemented enhancements to improve functionality Utilized Agile methodology to manage tasks and prioritize work items efficiently. Deployed new versions of existing software products using cloud technologies such as AWS or Azure.06/2018 to 08/2022 Data AnalystTechSteps Limited LagosBuilt visualizations that enabled users to quickly interpret results from complex analyses.Implemented machine learning algorithms like Linear Regression, Logistic Regression and Random Forest for classification and prediction purposes. Analyzed large datasets to identify trends, patterns and correlations for business insights.Interacted with non-technical stakeholders to deliver analyses and answer questions on deliverables.Developed and maintained BI dashboards for data-driven decision making. Designed, developed, and implemented ETL processes for data integration. EDUCATIONMaster of Science: Computer Science (Predictive Analytics) Austin Peay State University TennesseeGPA: 3.7/4Bachelor of Science: MathematicsUniversity of Ibadan NigeriaGPA: 3.8/4MEMBERSHIP & CONFERENCENational Society of Black Engineers (NSBE)Black is TechAfrotechInternational conference of AI, Data Mining and Data Science (paper presentation) 4th International Conference on Internet of Things & Embedded Systems (IoTE 2023) CERTIFICATIONSUtiva Data School (Big Data Analytics with Python), Lagos, Nigeria Data analysis Certifications, 2018 - 2019, Data Analytics, Visual Communication for Business, Tableau for Data Science,PROJECTSConstructed a supervised machine learning model, Employing logistic regression to classify individual earnings based on specific features, including geographical location, education qualification, race, sex, and marital status. The model exhibited a robust performance, achieving an AUC-ROC of over 85% and an accuracy of 91%. Designed and implemented a robust database and ETL pipeline, Using AWS DynamoDB and Lambda functions. This system was dedicated to detecting faults in industrial machinery, offering real-time insights. Data was stored efficiently in DynamoDB, ensuring seamless fault monitoring and analysis. Spearheaded the development of a comprehensive Inventory database, For the assembly shop. Leveraged expertise in VBA, Macros, and SQL Queries, in conjunction with Microsoft Access, to optimize inventory management. This system enhanced efficiency and inventory control on a multinational scale.

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