🔍 Data Scientist | 📊 Data-Driven Problem Solver | 🤖 Machine Learning & AI Enthusiast
Passionate about leveraging data, machine learning, and AI to create innovative solutions and drive informed decision-making.

• 🎓 Master’s student in Data Science at the University of Waterloo
• 🤖 Passionate about Data Science, Machine Learning, AI, Deep Learning, and Computer Vision, with interests spanning tech, banking, and construction industries.
• 💼 Over 2 years of experience as a Data Scientist and Analyst, combining technical depth with strong business understanding to deliver impactful insights and predictive models.
• 🌍 Bilingual — fluent in English and French, enabling effective collaboration in diverse, global environments.
• 🔍 Skilled in transforming data into actionable intelligence through statistical modeling, predictive analytics, and data visualization.

🟢 DietVision.ai AI-powered nutrition assistant that analyzes meals and offers personalized diet recommendations.

🔴 Facial Emotion Detection Deep learning model that recognizes human emotions from facial expressions using Convolutional Neural Networks (CNNs).

🔵 Real Estate Market Analysis Predicting prices using Random Forest Regressor for real estate investments.

"Data is the new oil." – Clive Humby
"The best way to predict the future is to invent it." – Alan Kay
"Artificial Intelligence is the next step in human evolution." – Anonymous
"Every big idea starts with a single data point." – Nafisat Ibrahim

• University of North Texas
  Bachelor of Science in Mathematics, Minor in Data Analytics (May 2024)
  GPA: 3.8/4.0
  Relevant Coursework: Data Analytics, Statistics, Data Wrangling, Machine Learning, Data Visualization, Computer Programming.

  Achievements:

  • Dean's List Recipient for Outstanding Academic Performance.
  • Completed machine learning-focused projects, including real estate price prediction and a collaborative filtering recommendation engine.

• 🎓 MIT Professional Education – Applied Data Science Program: Leveraging AI for Effective Decision-Making
  View Credential →

Exyte, Dallas, TX (May 2024 – Present)

• Developed Power BI dashboards to visualize performance metrics.
• Created predictive models in Python, improving workload forecasting accuracy.
• Collaborate with cross-functional teams to support data-driven strategies and process improvements.

HP Tech Ventures, New York, NY (January 2024 – May 2024)

• Analyzed pre-seed stage startups, leveraging SQL, Tableau, and Excel to evaluate business models, market strategies, and value chains.
• Identified high-potential investments and presented insights through market maps, data visualizations, and detailed reports.
• Contributed to strategic investment decisions through data analysis and comprehensive startup evaluations.

The Global Tech Experience, Denton, TX (May 2023 – July 2023)

• Gained hands-on experience with Python and SQL to conduct data analysis and statistical modeling.
• Extracted over 100K data points using SQL queries and visualized findings with Tableau dashboards, reducing analysis time by 30%.
• Conducted statistical analysis to uncover actionable insights, improving decision-making efficiency.

University of North Texas, Denton, TX (April 2023 – May 2024)

• Supported faculty and staff by processing over 100 customer transactions daily with 99% accuracy.
• Improved departmental efficiency through administrative support and effective student communication.
• Achieved a 98% customer satisfaction rating by addressing inquiries promptly and professionally.

DMEIB, Abidjan, Côte d’Ivoire (May 2021 – August 2021)

• Reduced data processing time by 50% by automating workflows and utilizing Excel for data transformation.
• Conducted statistical analysis on customer survey data, resulting in a 10% improvement in customer satisfaction.
• Designed 36 high-visibility PowerPoint presentations to inform business decisions and drive outcomes.

• Developed an AI-powered nutrition web app that analyzes meal images and provides detailed nutritional insights.
• Integrated a food image classification model (Food-101) using TensorFlow and Keras for accurate meal recognition.
• Designed an intelligent chatbot (Ella) using Gemini API to deliver personalized diet recommendations.
• Deployed on Streamlit Cloud, integrating Google OAuth and Vertex AI for authentication and inference.

• Built a Convolutional Neural Network (CNN) model to detect and classify human emotions from facial expressions.
• Trained on FER-2013 dataset using TensorFlow and Keras to identify key emotions such as happiness, anger, and sadness.
• Designed a Streamlit interface for real-time emotion detection from uploaded images or webcam input.
• Applied OpenCV preprocessing and data augmentation to improve accuracy and robustness.

• Built a predictive model using Random Forest Regressor for accurate real estate price forecasting.
• Designed an interactive user interface for real-time predictions, benefiting real estate investors.

• Developed a collaborative filtering recommendation engine using Python and Google Books API.
• Created an interactive frontend with React and backend with Node.js/Express for personalized recommendations.

• Conducted a statistical analysis of energy expenditure in walking styles using ANOVA and regression analysis in R.
• Published actionable insights for applications in fitness and physical therapy.

• Active Member of the National Society of Leadership & Success.
• Engaged in the HelloFinance Virtual Summer Series, absorbing knowledge from industry giants like Morgan Stanley and Goldman Sachs.

• IBM AI Developer Professional Certificate
• KPMG Virtual Internship in Data Analytics

• Learning advanced machine learning techniques and cloud computing (GCP).
• Building a portfolio of interactive dashboards and machine learning models.
• Writing articles on AI and its societal impact on my LinkedIn series, "Exploring AI with Nafisat."

• I enjoy skydiving, being an active member of the National Society of Leadership and Success, and continually learning and growing in the field of data science.

• 📫 Email: nafisat.l@outlook.com
• 💼 LinkedIn: linkedin.com/in/nafisat-ibrahim-14508725a
• 🌐 GitHub: github.com/NafisatIbrahim