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Emma Tobi

@emmatobi

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Senior Data Scientist driving AI/ML solutions that cut costs, speed decisions, and scale impact.

United States

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What I'm looking for

I seek hands-on AI/ML roles where I can lead scalable models and MLOps, collaborate cross-functionally, drive product impact, and contribute to growth-focused teams.

I am a Senior Data Scientist with over nine years of experience delivering measurable business impact across healthcare, cloud infrastructure, real estate, and SaaS. I build data-driven solutions that improve efficiency, reduce costs, and enhance customer experience.

At Cohere Health I led AI-powered intake and decisioning pipelines that accelerated prior authorization turnaround by 70% and achieved 30–40% administrative cost savings, while driving 90% auto-approvals and high provider satisfaction.

Previously, I engineered observability and telemetry transformations at Chronosphere—reducing stored data by up to 84%, improving time-to-detection by 30–40%, and scaling ingestion to handle hundreds of millions of datapoints per second with 99.99%+ uptime.

I combine deep technical expertise in machine learning, MLOps, cloud platforms, and data engineering with strong leadership, cross-functional collaboration, and a focus on translating insights into product and business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Cohere Health

Jan 2023 - Present (3 years 5 months)

Led development and deployment of AI-powered intake, decisioning, and clinical guidance pipelines that increased auto-approval to 90%, sped prior authorization turnaround by 70%, and delivered 30–40% administrative cost savings across millions of requests.

Python Generative AI AWS MLOps

Machine Learning Engineer

Chronosphere

Jun 2020 - Dec 2022 (2 years 6 months)

Built telemetry transformations and query acceleration features that reduced stored data by up to 84%, improved dashboard load times by 50%, and cut time-to-detection by 30–40%, while scaling ingestion to hundreds of millions of datapoints per second with 99.99%+ uptime.

Python Data Pipelines Kafka Prometheus OpenTelemetry Spark Distributed Systems Observability

Data Scientist

Inspiring Apps

Mar 2018 - May 2020 (2 years 2 months)

Led analytics and predictive modeling for a real-estate fintech app, increasing weekly active users by 22% and improving churn prediction precision to 88%, enabling targeted interventions that reduced drop-off by 18%.

Python A B Testing SQL Dashboards Analytics Mobile Analytics

Data Analyst

Roofr

Aug 2016 - Feb 2018 (1 year 6 months)

Analyzed lead capture and operations data to boost qualified lead conversion by 28%, shorten reporting lag by 40%, and reduce material overage waste by 22% through demand forecasting and pipeline analysis.

SQL Python Data Visualization Forecasting Excel)Excel