Machine Learning Data Analyst

DONATUS O. AILODION

STATUS: GC-EAD

Clarksville, TN 37040 931-***-**** ad5vca@r.postjobfree.com WWW: Bold Profile SUMMARY

Highly-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. SKILLS

SAS

R

Python

Java

SQL

HTML

NoSQL

Apache Spark

Excel

Tableau

Power BI

Big Data

Data ETL

Machine learning

MySQL

Azure

AWS cloud practitioner

Cloud knowledge

Practical Leadership skills

Strong interpersonal and

communication skills

Effective strategic and organizational

skills

Excellent time management

Excellent writing and presentation

skills

PROFESSIONAL EXPERIENCE

01/2023 to Current Graduate Assistant

Austin Peay State University Clarksville, TN

Developed 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 Intern

Muzedata Manassas, VA

Collaborated with cross-functional teams to develop, test, and deploy high quality software solutions

Conducted 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 Analyst

TechSteps Limited Lagos

Built 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. EDUCATION

Master of Science: Computer Science (Predictive Analytics) Austin Peay State University Tennessee

GPA: 3.7/4

Bachelor of Science: Mathematics

University of Ibadan Nigeria

GPA: 3.8/4

MEMBERSHIP & CONFERENCE

National Society of Black Engineers (NSBE)

Black is Tech

Afrotech

International conference of AI, Data Mining and Data Science (paper presentation) 4th International Conference on Internet of Things & Embedded Systems (IoTE 2023) CERTIFICATIONS

Utiva Data School (Big Data Analytics with Python), Lagos, Nigeria Data analysis Certifications, 2018 - 2019, Data Analytics, Visual Communication for Business, Tableau for Data Science,

PROJECTS

Constructed 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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