Nafisat Ibrahim

Education

University of North Texas, Denton, TX
Bachelor of Science, Major: Mathematics; Minor: Data Analytics
Graduation Date: May 2024
GPA: 3.8/4.0
Relevant Coursework: Statistics, Data Analytics 1 & 2, Data Wrangling, Computer Programming 1 & 2, Data Visualization

Certifications

• MIT – Applied Data Science Program: April 2025
• IBM AI Developer Professional Certificate: May 2025

Experience

Exyte, Dallas, TX - Data Analyst

May 2024 – Present

• Developed interactive Power BI dashboards and integrated 3D models using Navisworks.
• Built a 3D model viewer using JavaScript, HTML, and CSS for enhanced project visualization.
• Created time series forecasting models in Python to predict workload trends, improving forecasting accuracy by 30%.
• Key Achievement: Reduced project rework by 20% through enhanced 3D model visualization.

University of North Texas, Denton, TX - Student Assistant

April 2023 – May 2024

• Processed over 100 customer transactions daily with a 99% error-free record.
• Assisted customers with inquiries, achieving a 98% satisfaction rating.

HP Tech Ventures, Denton, TX - Corporate VC & Business Analyst Extern

January 2024 – April 2024

• Analyzed pre-seed startups using Excel, SQL, and Tableau to evaluate business models and market strategies.
• Contributed to investment decisions by creating market maps and visualizations.

The Global Tech Experience, Denton, TX - Data Coding Trainee

May 2023 – July 2023

• Conducted statistical analysis on large datasets with Python, discovering actionable insights for decision-making.
• Developed complex SQL queries and Tableau dashboards, reducing analysis time by 30%.

DMEIB, Abidjan, Côte d'Ivoire - Data Analyst Intern

May 2021 – August 2021

• Transformed raw data into usable formats using Excel, reducing processing time by 50%.
• Designed 36 high-visibility presentations to drive business outcomes.

Research and Academic Projects

Real Estate Analysis Project: Predicting Prices with Machine Learning

• Analyzed large real estate datasets to uncover market trends, property features, and regional dynamics using machine learning techniques.
• Built predictive models using Random Forest Regressor for accurate price forecasting.
• Designed an interactive user interface for real-time price predictions. GitHub Link

Book Recommendation Engine

• Developed a collaborative filtering-based recommendation engine using Python, Google Books API, and React.
• Created a dynamic frontend with React and a backend with Node.js. GitHub Link

Leadership and Other Activities

• LinkedIn Content Creator: Regularly write articles on AI and machine learning, including a series titled "Exploring AI with Nafisat."
• National Society of Leadership & Success, Member: Engaged in leadership training and community service.
• HelloFinance Virtual Summer Series Participant: Gained insights on finance, investment banking, and private equity from industry leaders.

Skills and Interests

Data Analysis: Power BI, SQL, Python (Pandas, Numpy, Scikit-learn), Tableau, R, Excel

Programming: JavaScript, HTML, CSS, React, Git

Cloud: Azure, Google Cloud Platform, OpenRefine

Autodesk: Navisworks, BIM 360, Revit, Dynamo

Languages: English (Fluent), French (Native)