Myles Merge

> Data Scientist & ML Engineer

Building intelligent systems that scale. 5+ years turning data into products that millions use. Currently shipping ML at Big Tech.

Myles Merge

01. About

I'm a data scientist who believes in building things that matter. Over the past 5+ years, I've developed machine learning models that serve millions of users, designed experiments that drive product decisions, and built data infrastructure that scales.

My approach combines rigorous statistical thinking with pragmatic engineering. I've worked across the full stack - from research and experimentation to production ML systems and data platforms.

Languages & ML

Python R PyTorch TensorFlow Scikit-learn

Data & Cloud

SQL Spark AWS GCP Airflow

Specialties

NLP A/B Testing Time Series MLOps

02. Experience

Data Scientist

Big Tech Company
San Francisco, CA Jan 2022 – Present
  • Developed ML models for user recommendations, increasing engagement by 18%
  • Built scalable data pipelines processing billions of daily events with Spark & Airflow
  • Designed A/B tests driving 12% feature adoption increase
  • Mentored junior data scientists on statistical methods and coding practices

Data Scientist

Tech Startup (Series B)
Remote Jul 2019 – Dec 2021
  • Designed churn prediction models with 85% accuracy, reducing churn by 10%
  • Automated ETL workflows, cutting manual reporting time by 40 hours/month
  • Implemented anomaly detection reducing system downtime by 30%

Data Analyst

Consulting Firm
New York, NY Aug 2017 – Jun 2019
  • Built dashboards for Fortune 500 clients across finance and healthcare
  • Provided insights informing multi-million-dollar marketing strategies
  • Streamlined reporting pipelines, reducing refresh times from 12h to 1h

03. Projects

Things I've built and shipped

Customer LTV Model

Predictive models using survival analysis to estimate customer lifetime value for e-commerce clients. Improved marketing ROI by 25%.

Python Survival Analysis Scikit-learn

Time Series Forecasting

Demand forecasting models for product inventory optimization. Reduced inventory costs by 15% through improved prediction accuracy.

Python Prophet ARIMA SQL

Education

M.S. in Data Science

Top University • 2017

B.S. in Computer Science

Top University • 2015

Certifications

AWS Certified Machine Learning – Specialty

Data Science Professional Certificate

Coursera

Let's build something together

Always interested in new opportunities and collaborations. Drop me a line if you want to chat about ML, data, or just say hi.