Asabaal Horan, Ph.D.

Data Scientist | Entrepreneur | Educator

MLE Certification
Physics Ph.D.
📱 509-720-3189
💼 LinkedIn Profile

Core Competencies

Leadership & Communication

Educating, storytelling, leadership, research, customer relationship development, conflict resolution, problem solving

Programming & Development

Python, Java, SQL, Mathematica, Generative AI prompt engineering, Software Design/Vibe Engineering, Full Stack AI-Native System Design

Machine Learning & AI

Supervised/Unsupervised Learning, Deep Learning, Timeseries Modeling, Sampling Techniques, GNNs, GenAI, Agentic System Design, AI-Era Debugging Workflows

Cloud & Big Data

GitHub/GitLab, AWS (EC2, S3, Athena), GPU acceleration, Scrum/Agile

Professional Experience

Co-Founder & Creative Visionary
Asabaal Ventures | The Abundance Revolution
April 2024 - Present

Building AI-native infrastructure for human flourishing in the post-scarcity economy. Currently raising $125,000 to scale platform transforming underutilized professionals into successful AI-powered entrepreneurs.

🚀 The Abundance Revolution Platform:

  • AI-Native Business Creation: 90-day transformation program with automated systems, regenerative funding model
  • Multimedia Ecosystem: Music production, immersive experiences, and software tools powered by AI
  • Community Infrastructure: Peer acceleration achieving 85%+ completion rates vs. 3-15% industry standard
  • Systematic Impact: Each success creates 3x viral multiplier effect, targeting $15.7T AI transformation market

Current Status: Pitch deck completed for InvestFest 2025, co-founder partnership established, proven personal transformation model (physicist → AI-powered creative entrepreneur)

Data Scientist II → III
Sift Healthcare
Nov 2020 - May 2024

Promoted from Data Scientist II to Data Scientist III (Nov 2021)

  • Created and extended data-driven machine learning pipeline solutions for healthcare applications including patient engagement, repayment, and denials overturn & prevention
  • Designed, implemented & maintained proprietary ML Ops infrastructure
  • Led internal & external collaboration and communication initiatives
  • Defined & implemented data-driven elements of product design
  • Mentored junior team members and fostered holistic workplace development
  • Continuously pushed boundaries of what's possible while staying current with industry developments
Data Scientist
Verisk Financial | Argus
Sept 2019 - Nov 2020
  • Developed financial modeling solutions for marketing, acquisition, and fraud prevention
  • Managed full data science product lifecycle
  • Pioneered team-wide complete overhaul of modeling infrastructure
  • Hosted training sessions for AWS migration of data science workflows
  • Led client engagements as project specialist, anticipating client needs
  • Managed summer intern, initiating new feature engineering approaches
  • Transitioned internal codebase to GitLab for version control
Research/Project Assistant
Lehigh University
2014 - 2019
  • Conducted interdisciplinary computational biophysics research
  • Specialized in MCMC HPC simulations using MPI on world-class supercomputers
  • Applied data analysis techniques from statistical analysis to unsupervised learning
  • Trained and supervised graduate & undergraduate students
  • Wrote successful grant proposals (funded by XSEDE)
  • Participated in peer review of submitted research articles
  • Presented & published scientific research at prestigious conferences/journals
  • Designed in-house clustering algorithm described in scientific publications

Education

Ongoing Self-Directed Education
Independent Study
July 2023 - Present

Human psychology & neuroscience, music creation & production, financial investment strategies, home inspection, creative narrative construction, developing GenAI pipelines

Machine Learning Engineering Certification
Springboard
May 2020

Capstone Project: Diagnosing Malaria with Machine Learning - Used standard ML, neural networks, and transfer learning (VGG16) for image classification, computer vision (Mask RCNN) for parasite identification

Ph.D. in Physics
Lehigh University
2014 - 2019
Cumulative GPA: 3.59
M.S. in Physics
Lehigh University
2014 - 2017
Cumulative GPA: 3.47
B.S. in Physics
Pacific Lutheran University
2010 - 2014

Minors in Mathematics & Computer Science

Cumulative GPA: 3.71 | Physics: 3.69 | Math: 3.64 | CS: 3.93

Teaching Experience

Teaching Assistant
Lehigh University Physics Department
2014 - 2019
  • Taught introductory Physics lecture & lab courses
  • Developed lesson plans, quizzes, & problem solutions
  • Participated in pedagogical experimentation to optimize student learning
  • Conducted office hours for student tutoring
Homework Grader/Lab TA
Pacific Lutheran University Physics Department
2012 - 2014
  • Reviewed solutions for accuracy and developed grading systems
  • Assisted in lab setup/teardown and student experiment success

Awards & Recognition

Featured Research Article
Doctoral Travel Grant
2nd Place Graduate Poster
Physics Scholarship
Academic Provost Merit Award
Dean's List
Music Scholarship - Voice
XSEDE Empower Grant (Supervised)