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Matt M.
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Matt M.

ML Audits, Prediction Improvement & Forecasting | Kaggle Grandmaster

Is your model underperforming, your validation unreliable, or your forecasting pipeline failing to generalize? I help companies diagnose and improve machine-learning systems that already have data, a baseline model, or a working prototype—but are not delivering the accuracy, robustness, or business value they should. I am a Kaggle Competitions Grandmaster with a peak global rank of #18, more than 10 years of applied data-science experience, 13 national and international competition awards, and over $350,000 in prize money. I have also led production machine-learning, forecasting, and optimization systems deployed across thousands of connected devices worldwide. HOW I CAN HELP • ML model audits and improvement Identify leakage, weak validation, poor feature choices, calibration issues, error patterns, and missed ensemble opportunities. • Predictive modeling Build high-performing models for tabular data, classification, regression, ranking, and other difficult prediction problems. • Forecasting and time series Develop or improve demand, load, operational, customer, revenue, and other forecasting systems. • Feature engineering, tuning, and ensembling Improve existing baselines through rigorous experimentation and competition-grade modeling methods. • Production ML pipelines Turn notebooks and prototypes into reliable, reproducible, maintainable workflows. • Applied AI and LLM systems Implement practical classification, extraction, evaluation, automation, and decision-support workflows with measurable value. WHY CLIENTS HIRE ME • Kaggle Competitions Grandmaster, peak global rank #18 • $350,000+ in competition prize money • 13 forecasting, prediction, and optimization awards • Former Chief Data Scientist at Shifted Energy • Previous senior data-science roles at H2O.ai and Iterable • Experience with enterprise AutoML, terabyte-scale prediction, forecasting, optimization, and production deployment • M.S. in Electrical Engineering and doctoral research in machine learning and optimization I am especially useful when you need an expert to quickly understand an existing system, determine what is limiting performance, and implement the highest-value improvements. Send me a brief description of your data, current model, evaluation metric, and desired outcome, and I will tell you where I see the strongest opportunities.

🇺🇸Aiea, United States$175/hr100% JSSSince Jul 2026

Earnings and projects

MRR
$2.3k

Last 6 months ÷ 2.7 months active (since Aug 2026)

World#19,243 / 412k
🇺🇸Country#4,451 / 62.1k
Revenue, last 30 days
$0

Last 6 months: $6.1k

Total earnings
$6.2k

Billed in all: $6.5k

World#236,977 / 412k
🇺🇸Country#37,449 / 62.1k
Per project
$6.2k

$6.1k in the last 6 months

World#28,012 / 412k
🇺🇸Country#4,635 / 62.1k
Projects, last 6 months
1
0% fixed100% hourly
World#128,092 / 412k
🇺🇸Country#16,472 / 62.1k
Projects in all
1
0% fixed100% hourly
World#360,671 / 412k
🇺🇸Country#53,151 / 62.1k

Earnings, last 30 days

$6.5kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$6.3k$6.4k$6.5k$6.6kOct 8Oct 23Nov 7

Skill rankings: Top 3% in Data Mining

Ranked by MRR among everyone on Upwork with the skill.

  1. 3Feature Engineering40 freelancers · 🇺🇸 #1Top 8%
  2. #5Time Series Forecasting110 freelancers · 🇺🇸 #1Top 5%
  3. #12Predictive Modeling125 freelancers · 🇺🇸 #4Top 10%
  4. #25Information Analysis523 freelancers · 🇺🇸 #6Top 5%
  5. #51Statistical Analysis987 freelancers · 🇺🇸 #15Top 5%
  6. #67Machine Learning Model1,169 freelancers · 🇺🇸 #13Top 6%
  7. #95PyTorch1,585 freelancers · 🇺🇸 #22Top 6%
  8. #170Deep Learning2,743 freelancers · 🇺🇸 #31Top 6%