Data analyst with a background in mathematics and over 4 years experience transforming complex datasets into actionable business insights. Skilled in problem-solving and leveraging analytical expertise to solve critical business challenges.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Analyst
Morgan State University
Baltimore, Maryland
03.2023 - Current
Leverages advanced analytics to draw insights from large data sets, driving strategic business decisions leading to increased students' enrollment by 20% within a year.
Developed and maintains 10+ dashboards in PowerBi that highlighted key business metrics, such as retention, enrollment, pass rate, cost per student, reducing reporting time by 25%.
Worked closely with cross-functional teams to align data analysis objectives, ensuring insights addressed comprehensive business needs and strategic goals.
Identified and implemented automation in regular data analysis, reducing manual intervention by 40%.
Business Analyst (Intern)
Morgan Stanley
Baltimore, MD
12.2022 - 02.2023
Built and maintained Power BI dashboards and reports, focusing on key business metrics to provide real-time insights into performance.
Ensured data accuracy and reliability when dealing with regulatory compliance and security standards, aligning closely with Morgan Stanley's data governance requirements.
Critically evaluated data assumptions and analysis methods, decreasing error rates by 15% and improving overall data reliability.
Data Science Intern
Brookhaven National Laboratory
Upton, NY
06.2021 - 06.2022
Identified and resolved data discrepancies in Chimboku datasets, resulting in a 25% improvement in accuracy.
Implemented automation to streamline data analysis reducing manual intervention by 40%.
Analyzed real-time data to detect anomalies by employing Pandas, Numpy, and Scikit-learn.
Data Analyst
Eaton Corporation
Troy, IL
12.2018 - 06.2019
Manages, analyzes, and tracks inventory of over 3 million USD of goods including raw materials and finished products using SAP, SQL, and MS Excel
Developed predictive models that increased forecast accuracy 5% leading to a 15% reduction in inventory costs and improved stock management
Generated actionable insights from big data, resulting in 10% increase in customer retention, driving revenue growth for the business
Education
DEng - Industrial Engineering
Morgan State University
12-2024
MSc - Industrial & Systems Engineering
Southern Illinois University Edwardsville
12-2018
BSc - Mathematics
Bowen University
01.2012
Skills
Data Visualization & Storytelling: Power BI, Excel, and storytelling through data, report generation
Data Analysis and Reporting: SQL, Python,advanced Excel skills, data cleaning, and transformation
Technical and analytical skills: Process automation, reporting optimization, data modeling, KPI development
Soft skills: Attention to details, collaboration, problem solving, effective communication, and being results-oriented
Certification
Data Analytics Certification, Data Techcon, 04/2022
Professional Scrum Master, https://www.scrum.org/certificates/725150, 01/2022
Lean Six Sigma (Green Belt)
Accomplishments
Developed a centralized analytics dashboard that consolidated data from disparate sources, creating a unified source of truth for tracking sales KPIs and goal performance metrics at Eaton Corporation This solution reduced data silos enabling a 15% improvement in reporting efficiency, and accelerating data-driven decision-making across teams.