Data Analyst Machine

Babatunde Omope

US Citizen 240-***-**** **************@*****.***

SUMMARY

Highly- motivated recent business and IT graduate with academic preparation in strategic planning, team collaboration, technology integration, marketing, and applied business practices focused on successful organizational performance. Current Program specialist intern at USDA seeking full-time entry-level IT role as a System Analyst, Business analyst, and a Management Consultant.

EDUCATION & CERTIFICATION.

Bowie State University Bowe, MD.

Bachelor of Science, Business Information Systems. Expected graduation May 2019

Prince George’s Community College.

Associate of Arts, Business Administration December 2016 Certification.

Scrum master Accredited Certification

EXPERIENCE

USDA – Program Specialist (intern) June 2019 – Present

• Assist with the development of conference packages for approval.

• Assist with the cost estimate of travel expenditures, registration fees.

• Validation of event- including date/location information, and creation of memos for approval.

• Help with entering conferences within USDA’s Conference Transparency Tracking Tool.

• Handles ad hoc system updates and request a s assigned- including updating conference-related information.

• Help to devise guides, resources and tools for conferences and foreign travel. TECHNICAL SKILLS

• Tableau • Excel • Microsoft Access • Microsoft Visio •SharePoint PROJECTS

BSU Students Connect – Business case (Lead Analyst) March 2018

• Led a team of 4 to implement a business case for a real-time, online student collaboration platform.

• Designed a business case around core project initiatives as defined by end users

• Created SWOT analysis per use case

• Delivered and presented case for approval

Analysis of Heart Disease (Data Analyst) April 2019

• Extracted heart disease data from UCI Machine Learning repository

• Performed root cause analysis of Angiographic disease using popular machine learning techniques

• Delivered a predictive model for chance of developing Angiographic disease (with a predictive strength of 81%) using decision tree

• Delivered descriptive visualizations showing correlations between Angiographic disease and age in the US using Tableau

SOFT SKILLS

• Possess excellent communication skills

• Comfortable in a fast-paced environment

• Familiar with Agile methodology

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