Emmanuel Ssegawa
*****************@*****.*** • 469-***-**** • LinkedIn •
EDUCATION
University of Portland May 2025
BBA in Management Information Systems
Minor: Computer Science
Concentration: Data science
TECHNICAL SKILLS
Languages: Python, R, SQL, Java
Analytics & Visualization: Tableau, Power BI, Shiny
Machine Learning & AI Frameworks: Keras, PyTorch and TensorFlow
Cloud & Tools: AWS, Cloud Security
Data Analytics Concepts: Cost Modeling, Risk Analysis, Monte Carlo Simulations
Project Tools: Agile, JIRA, Microsoft Office Suite
WORK EXPERIENCE
MCG UK London, UK
Data Analyst Intern Feb 2024 – May 2024
Collaborated with cross-functional teams to identify data-driven insights and optimize business processes.
Used SQL to clean and transform large datasets from diverse sources.
Built Tableau dashboards to monitor KPIs, reducing reporting time by 15%.
Streamlined data workflows, contributing to a 10% boost in operational efficiency.
University of Portland Portland, OR
IT Support Technician April 2022 – Aug 2022
Provided IT debugging support for Windows, macOS, Linux, and Chromebook systems.
Developed workflow automations and standardized response templates.
Troubleshot technical issues, improving ticket resolution rates by 50%.
Assisted in aligning asset tracking with workflow improvements.
PROJECTS
Senior Capstone - LunarX Underwater Habitat Proposal Project Management Feb 2025 – April 2025
Modeled a $340M NASA training habitat using Monte Carlo simulations for 10+ risk variables.
Designed Agile-Waterfall hybrid project plan and WBS across 100+ tasks.
Delivered stakeholder presentation with scenario-based budget forecasting.
MediCrystals Capacity & Risk Analysis Supply chain Mgmt. Aug 2024 – Dec 2024
Built a supervised learning model to classify high-risk suppliers using logistic regression and decision trees.
Used Tableau for scenario modeling and risk scoring framework.
Provided strategic supply chain recommendations to mitigate disruptions.
Quantative Trading Strategy R-Programming Apr 2023
Designed automated trading models using MACD, RSI, and Volume Oscillators.
Built Shiny dashboard to simulate $100K diversified portfolio.
Achieved outperforming back-test results versus benchmarks.
Certifications and Volunteering
IBM Data Science Professional Certificate (Completed)
Microsoft Azure AI Fundamentals(A1-900) [In Progress]
Treasurer for the Black Students Union – Managed the budget and secured funding for club initiatives.
Club recruiter for Society of Hispanic Professional Engineers – Recruited & Increased member engagement by 50% and visibility through event planning and outreach.