Mika.

Full-Stack Developer & Data Analyst

Builds web apps end to end, along with the dashboards and analysis that run on the data behind them.

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Portfolio

	Date Modified	Kind
Charlie Dean Postal Service	Oct 1, 2025	Utility
Who's 57?	Apr 12, 2025	Website
Maintenance	May 19, 2023	Sculpture
Shave Your Tongue	Apr 14, 2023	Video
I'm Only Sleeping	Dec 19, 2022	Sculpture
FACMAN	Oct 28, 2022	Sculpture
A Fun Day at the Playground	Aug 3, 2022	Video
Phone-A-Friend	Sep 8, 2021	Installation
The Ingraham Angle - Charlie Dean Discusses Poop Theory	Jul 22, 2021	Video
Clay	May 11, 2021	Video
You Spin Me Right Round, Baby	May 7, 2020	Sculpture
Working from Home	Apr 10, 2020	Sculpture

Resume

Mika T. Otsuka

Senior Data Scientist

mto9902@gmail.com github.com/mto9902 San Francisco, CA

Summary

Data scientist with 8+ years of experience building production ML systems, statistical models, and data pipelines at scale. Comfortable across the full stack from raw data ingestion to deployed inference. Strong background in NLP, recommender systems, and causal inference. Enjoys mentoring and cross-functional collaboration.

Experience

Senior Data Scientist 2022 – Present

Apex Analytics, San Francisco, CA

Led development of a real-time personalization engine serving 14M+ daily active users, improving click-through rate by 18%.
Designed and shipped a causal inference framework for A/B test analysis, reducing experiment runtime by 30%.
Built feature store on top of Spark + Redis; reduced model training data prep time from 6 hrs to 40 min.
Mentored 3 junior data scientists; established team code review and model documentation standards.

Data Scientist 2019 – 2022

DataStream Inc., Seattle, WA

Built customer churn prediction model (XGBoost + SHAP) achieving AUC 0.93, deployed to production via FastAPI.
Developed NLP pipeline for classifying 500K+ monthly support tickets; cut routing errors by 41%.
Automated weekly executive dashboards in dbt + Looker, saving ~22 hours/week of manual reporting.

Junior Data Scientist 2017 – 2019

Meridian Labs, Portland, OR

Conducted exploratory analysis and cohort modeling for product growth team.
Built internal A/B testing library used across 4 product squads.

Education

M.S. Statistics 2017

University of Washington, Seattle

B.S. Mathematics & Computer Science 2015

UC San Diego

Skills

Languages: Python, R, SQL, Scala
ML / Stats: PyTorch, TensorFlow, scikit-learn, statsmodels, XGBoost
Data Eng.: Spark, Kafka, Airflow, dbt, Flink
Cloud: AWS (SageMaker, Redshift, S3), GCP (BigQuery, Vertex AI)
Tooling: Docker, Kubernetes, MLflow, Git, FastAPI