Emma Tobi
@emmatobi
Senior Data Scientist driving AI/ML solutions that cut costs, speed decisions, and scale impact.
What I'm looking for
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
Senior Data Scientist
Cohere Health
Jan 2023 - Present (2 years 9 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.
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.
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%.
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.
Education
Degrees, certifications, and relevant coursework
University of Florida
Master of Science, Artificial Intelligence
2014 - 2016
Completed a Master of Science in Artificial Intelligence, focusing on advanced machine learning and AI techniques applied to real-world problems.
University of Florida
Bachelor of Science, Computer Science
2009 - 2013
Earned a Bachelor of Science in Computer Science with coursework in algorithms, software engineering, and systems.
Tech stack
Software and tools used professionally
Superset
D3.js
ggplot2
Chronosphere
GitLab
Bitbucket
Kubernetes
Jupyter
NumPy
Pandas
dbt
MongoDB
Cassandra
Hadoop
InfluxDB
Gmail
Rollout
Databricks
Terraform
Jira
Java
Julia
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Kafka
Grafana
Prometheus
OpenTelemetry
Linux
iOS
Datadog
GraphQL
gRPC
Elasticsearch
Milvus
Airflow
Fluent Bit
go-git
TimescaleDB
SQL
XGBoost
Hugging Face
LightGBM
CatBoost
LangChain
LlamaIndex
Weaviate
Weights & Biases
Pinecone
Plane
Ray
Synthesized
Evidence
Availability
Location
Authorized to work in
Job categories
Skills
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