Daniel Berry Email & Phone Number

Corvallis, OR, US

San Francisco, CA, US

Experimentation Science Lead - working to scale the velocity and impact of the experimentation program. Achievements include:* Helped scale experimentation volume over 5x (from <50/year to >250/year) which led to >10 experiments with strong, positive impact on company north star metric (and many more experiments that drove guardrails or departmental KPIs)*.

Boston, MA, US

As a lead data scientist, I ran analytical initiatives to support existing products or help develop new ones, including:- Designed and built an A/B testing framework, whose experiments led to 20% lower distracted driving frequency and a resulting estimated minimum savings of $1.5 million in loss expenses over 5 years.- Served as technical product owner for.

Boston, MA, US

Built and deployed price optimization, shipment ranking, shipment matching, and pallet optimization algorithms resulting in increased margins. Built streaming data pipelines powering real-time dashboards. Conducted simulation studies and market sizing analyses to guide business strategy. Rapidly adapted to changing business priorities and collaborated with.

Northbrook, IL, US

Held a variety of responsibilities enabling the delivery of a telematics-based risk model for a novel usage-based-insurance product, including:- Architected and built our big data pipeline which rapidly delivers modeling datasets derived from hundreds of billions of raw telemetry events. Implemented complex feature extraction algorithms at scale, turning.

Northbrook, IL, US

Built a machine learning system to predict future car state for Arity, Allstate’s telematics startup. Created a data pipeline using Sqoop, Hive, and Spark tasks managed in Airflow. Fit intermediate GLM, GBM, and time series models in Python which were combined to form the final model. Implemented the production model in Groovy and hosted it on an internal.

Blacksburg, VA, US

Led a team of 5 masters students in providing statistical consulting services for researchers including data manipulation (data transformation and statistical programming), data visualization, and data analysis (model building and interpretation). Consulted for clients in a variety of departments including business, engineering, architecture, biomaterials.

Blacksburg, VA, US

Providing statistical collaboration services to help clients (faculty and graduate students) meet their research objectives

Blacksburg, VA, US

Lead instructional recitation sections and graded assignments

Northbrook, IL, US

Developed a model to detect car crashes from embedded sensor data such as accelerometers, GPS, and OBD2 ports. Created modeling file using Python, Spark, and Hive. Extracted fea- tures using Python toolkits and trained GBM models using XGBoost and scikit-learn. Demon- strated 50-fold accuracy improvement over original crash detection logic.

Northbrook, IL, US

Prototyped a natural language feature extraction system in Python to mine accident claim notes and developed a simple GBM model to predict auto losses in R.

Average improvement of two letter grades among students meeting weekly.

Kansas City, MO, US

Developed internal tools in R and Python for data visualization and predictive modeling.

Baton Rouge, LA, US

Researched computational combinatorics with Dr. Valerio DeAngelis of Xavier University of Louisiana (XULA). Implemented and applied transforms to a database of integer sequences using Mathematica. Paper title: Umbral Calculus and the Boustrophedon Transform.

Master’S Degree, Statistics

Master'S Degree, Statistics

Bachelor'S Degree, Mathematics