WALEED AMER
Data Scientist | Machine Learning Engineer
PROFESSIONAL SUMMARY
Data Scientist and Machine Learning Engineer with 5+ years of experience in analytics and model development, built on 10+ years of success in marketing, business strategy, and customer engagement. Brings cross-industry expertise spanning healthcare, retail, fitness tech, telecom, and professional services. Combines behavioral insight and strategic acumen with technical depth in machine learning, NLP, and LLM integration to build scalable, impactful solutions. Adept at translating business problems into data-driven products that drive efficiency, engagement, and measurable growth.
TECHNICAL SKILLS
PROJECT HIGHLIGHTS
REMI – AI-Powered Financial Advisor
Developed a real-time financial assistant using LLaMA 3 and spaCy that classifies user goals with 92% F1-score, delivers market-aware advice, and runs efficiently on AWS with a 40% cost reduction.
Multi-Agent Wind-Grid Optimizer – Capstone Project
Built a reinforcement learning system using ERCOT data that cut wind curtailment by 18% and grid mismatch penalties by 25%, earning SMU's Best Capstone Presentation award.
EXPERIENCE
Beige LLC (Fire-fly Fitness AI App)
Contractor
- • Engineered ML models with 92% accuracy for predicting user performance and customizing workout plans using real-time exercise data
- • Integrated LLMs to analyze free-text workout notes, extracting sentiment and context to enhance personalized fitness
- • Built regression models linking form score, rep duration, and fatigue to enable adaptive workout tuning
Southern Methodist University
Teaching Assistant (Advanced Statistics)
- • Supports graduate students in applying statistical methods to real-world problems
- • Reinforces analytical concepts and fosters confidence in data-driven thinking
SEVA Foot and Ankle Center
Consultant
- • Conducted omni-channel analytics to increase patient intake efficiency by 25%
- • Built predictive models to optimize appointment targeting and boost satisfaction
- • Collaborated cross-functionally to embed data into operational workflows
EmoryDay
Sr. Account Executive
- • Conducted statistical analyses on omni-channel marketing data, increasing user engagement by 25%
- • Developed segmentation models to refine targeting, improving market spend efficiency by 15%
Joseph Studios
Director of Business Development
- • Built data visualization dashboards and predictive models for lead generation campaigns, increasing contract values by 30%
- • Analyzed customer segmentation data to optimize retention strategies, increasing customer retention by 20%
ADDITIONAL EXPERIENCE
Prior roles include leadership in marketing, business development, and analytics at T-Mobile, LMC, and other organizations, helping to build a foundation in data-informed strategy, customer insights, and cross-functional execution.
EDUCATION & CERTIFICATION
M.S in Data Science
Southern Methodist University – Dallas, TX
B.S in Technical Management & Sales Marketing
DeVry University – Chicago, IL
Google Analytics Certification
Online