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"BRIDGING DATA & HUMAN CENTERED LEARNING"

Welcome to the portfolio that charts my evolution from passionate teacher to data science and instructional design expert. Here, I showcase my projects, instructional design, and insights aimed at inspiring others and connecting with potential employers.

PORTFOLIO
PROJECT COLLECTIONS

SKILLS

My Expertise

Teaching

Mathematics

Data Science

Analytical Thinking

MY JOURNEY

Teaching & Tech: My Journey is a reflection of my career evolution as an educator transforming into a data scientist and instructional designer. My work emphasizes leveraging technology to enhance learning experiences.

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About Me
Hi! I’m both a Data Scientist and an Instructional Designer, blending data-driven insights with human-centered learning design. With 11 years in education and advanced training in Applied Data Science (MIT xPRO), I turn complex data into strategies while designing engaging learning experiences that deliver results.

 

My expertise spans:
Machine Learning & Predictive Analytics
Statistical Modeling & Visualization
Instructional Design & Digital Learning
Mentorship, Training & Team Development

I thrive where data storytelling meets instructional design — helping organizations optimize decisions, build skills, and improve performance.

 

Career Highlights

Analytics & Data Science

  • Delivered end-to-end analytics projects with predictive modeling & dashboards.

  • Applied clustering & segmentation to uncover trends and improve strategy.

  • Built dashboards that made insights clear and actionable.

Instructional Design & Training

  • Designed curricula for 100+ learners using ADDIE/UDL, boosting engagement by 25%.

  • Created 50+ interactive lessons & online hubs during COVID with 95% participation.

  • Expanded LEGO Robotics program across grades, raising STEM participation by 40%.

  • Led PD sessions on EdTech, robotics, and virtual training.

Leadership & Mentorship

  • Mentored junior analysts/trainers, achieving 100% placement for student trainers.

  • Trained 15+ colleagues on digital platforms, improving learner satisfaction by 30%.

  • Interviewed 20+ candidates as part of recruitment committees.

Relevant Data Science Projects

  • Customer Segmentation (MIT Capstone): K-Means, GMM, PCA & t-SNE.

  • FoodHub Orders: Dashboards + models on ordering trends & preferences.

  • Auto-mpg & AllLife Bank: Clustering to improve retention & targeting.

  • Student Performance (Kaggle): Predictive models to identify success factors.

 

What I’m Looking For

Opportunities where I can:

  • Drive data-informed decision-making

  • Design impactful learning programs

  • Mentor and grow emerging talent

  • Bridge analytics with strategy & development

In short: I’m a Data Scientist + Instructional Designer hybrid, passionate about blending insights & learning to empower people and organizations.

 

Let’s connect!

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Connect with Me Online

  • GitHub
  • Linkedin

North Billerica

Massachusetts 

 

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