Erich Strange
@erichstrange
Data analyst specializing in ML/AI performance, automated pipelines, and production analytics.
What I'm looking for
I am a data analyst focused on combining Python automation, statistical validation, and production-grade analytics to drive measurable business impact. I build automated reporting systems and data quality frameworks that ensure analytics meet enterprise requirements.
At early-stage and enterprise environments, I have implemented data pipelines, real-time dashboards, and performance monitoring for ML/AI features and services. I translate raw data into actionable insights that reduce operational costs and improve system reliability.
My experience spans SQL analysis, A/B testing, model validation, and telemetry-driven performance analytics, with hands-on work in Kubernetes, Prometheus, and React/TypeScript dashboards. I collaborate closely with engineering to instrument features, analyze usage, and optimize deployments.
I enjoy teaching and mentoring, having designed and delivered data analysis curriculum, and I prioritize clear, automated diagnostics that shorten time-to-resolution and inform product decisions.
Experience
Work history, roles, and key accomplishments
Software Technical Services Engineer
Impact.com
Jan 2025 - Present (10 months)
Instrumented onboarding and integration metrics, built Python/SQL tooling to parse logs and generate diagnostic reports, reducing time-to-reproduce recurring issues and improving MTTR for field teams.
Founding Data Analyst
trudge.ai
Jan 2024 - Present (1 year 10 months)
Built automated Python/SQL data pipelines and real-time dashboards for LLM-powered features, tracking user behavior, model performance, and conversion funnels across beta users to inform product decisions.
Software Engineer
Affinity Biosensors
Jan 2022 - Jan 2025 (3 years)
Delivered production analytics with data validation, anomaly detection, and A/B test analysis; implemented feature-flag and canary metrics with alerting to monitor rollout health and model performance.
Data Analyst
Quantum Integration
Jun 2021 - Jan 2022 (7 months)
Analyzed IoT connectivity and API performance, developed predictive models for maintenance, and built Jenkins-driven automated reporting pipelines with data quality checks and executive dashboards.
Course Facilitator
UC Berkeley
Aug 2021 - Dec 2021 (4 months)
Designed and taught data analysis curriculum to 120+ learners covering statistical methods, visualization, and Python analytics to improve learner competency and practical skills.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Arts, Data Science
Completed a B.A. in Data Science with coursework and training in statistical methods, Python analytics, and data visualization.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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