Business analyst in training: turning stakeholder needs and data into clear requirements and recommendations. I turn data into clear analysis and visuals to inform youth justice policy and programs.
Portfolio of analysis, visualizations, and reports created during coursework and my externship with the Center for Improving Youth Justice.
Personal Project · Aug 2026
Defined business objectives, stakeholder questions, and KPIs, then analyzed 9,994 retail transactions across 21 attributes using Excel, SQL, and Tableau. Root-cause analysis showed that a region with $501K in sales earned only a 7.92% margin, driven by heavier discounting and loss-making product cat
Coursework Project · May 2026
Collaborated with a five-member team to design a normalized (3NF) relational database from Montgomery County’s public 300K+ record crime dataset (cleaned 2021 to 2023 sample loaded). I contributed data preparation in Excel, SQL implementation, and validation. The team documented the architecture and
Business analyst in training: turning stakeholder needs and data into clear requirements and recommendations. I turn data into clear analysis and visuals to inform youth justice policy and programs.
I’m Rachel Mbolembe, a fourth-year Information Science student at the University of Maryland with a minor in General Business. My work centers on business analysis: researching what users and stakeholders need, structuring data, and communicating recommendations to non-technical audiences. I have hands-on experience with SQL, Excel, Tableau, and Python through a Data Analytics Externship with CIYJ, a product analyst fellowship, and coursework projects. I’m seeking entry-level Business Analyst, Business Systems Analyst, and Operations Analyst opportunities.
Experience
Operations Management & Business Analytics Fellow
Robert H. Smith School of Business · Sept 2026 – Present
Business Operations Analyst Extern (Data Analytics)
Center for Improving Youth Justice · July 2026 – Present
Business Analyst, Product Requirements
Computing Catalyst Career Launch Hackathon · Nov 2025 – Jan 2026
Education
University of Maryland, College Park
B.S. Information Science; Minor, General Business (Robert H. Smith School of Business) · Class of 2027
Skills
Personal Project · Aug 2026
Defined business objectives, stakeholder questions, and KPIs, then analyzed 9,994 retail transactions across 21 attributes using Excel, SQL, and Tableau. Root-cause analysis showed that a region with $501K in sales earned only a 7.92% margin, driven by heavier discounting and loss-making product cat
Defined business objectives, stakeholder questions, and KPIs, then analyzed 9,994 retail transactions across 21 attributes using Excel, SQL, and Tableau. Root-cause analysis showed that a region with $501K in sales earned only a 7.92% margin, driven by heavier discounting and loss-making product categories. Built interactive dashboards and executive-style recommendations.
Coursework Project · May 2026
Collaborated with a five-member team to design a normalized (3NF) relational database from Montgomery County’s public 300K+ record crime dataset (cleaned 2021 to 2023 sample loaded). I contributed data preparation in Excel, SQL implementation, and validation. The team documented the architecture and
Collaborated with a five-member team to design a normalized (3NF) relational database from Montgomery County’s public 300K+ record crime dataset (cleaned 2021 to 2023 sample loaded). I contributed data preparation in Excel, SQL implementation, and validation. The team documented the architecture and methodology in a 10-page report and earned a 95%.
May 2026
Analyzed 2010–2020 Census data for Berwyn Heights, MD, finding Hispanic/Latino residents grew from 27% to ~36% while the White population fell from 56% to 41%, signaling possible language barriers to licensing information; designed a four-theme interview protocol and recruitment plan to validate bar
Analyzed 2010–2020 Census data for Berwyn Heights, MD, finding Hispanic/Latino residents grew from 27% to ~36% while the White population fell from 56% to 41%, signaling possible language barriers to licensing information; designed a four-theme interview protocol and recruitment plan to validate barriers with local business owners; presented charts and recommendations for multilingual businesses.