Daniel Berry's Location
Corvallis, Oregon, United States, United States
Daniel Berry's Contact Details
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About Daniel Berry
“Full-stack” Data Scientist who has delivered machine learning solutions spanning from research to production for companies large (Fortune 100) and small (seed-stage startup).
Daniel Berry's Current Company Details
Daniel Berry Work Experience Details
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MozillaCorvallis, Or, Us
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Staff Data ScientistMozilla Feb 2022 - PresentSan Francisco, Ca, UsExperimentation 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)* Implemented state-of-the-art statistical methodologies to increase program efficiency and effectiveness. These include covariate adjustment through linear models, retrospective A/A tests, and anytime-valid confidence sequences. * Drove the development and adoption of long-term holdbacks to measure the cumulative impact of experimentation teams.I am responsible for driving the sophistication and effectiveness of the experimentation program. I own statistical validity and reliability of experiment results, tools to automate experiment planning and analysis, and training and cultural programs to increase experimentation knowledge and capabilities across the company.
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Director, Product ResearchLiberty Mutual Insurance Dec 2021 - Feb 2022Boston, Ma, UsAs 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 launch of new pricing model.- Built inventory forecasting models to support supply chain team, resulting in >$20MM in spend on program hardware.- Trained and coached junior data scientists and served as a subject matter expert. Coached junior team members in an internal modeling competition, oversaw a new analyst in implementing program health dashboards, and organized a data science meetup to share skills and techniques. -
Assistant Director, Product ResearchLiberty Mutual Insurance May 2020 - Dec 2021Boston, Ma, Us
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Machine Learning EngineerFreightweb Nov 2019 - May 2020Built 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 diverse stakeholders.
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Senior Data ScientistAllstate Mar 2019 - Nov 2019Northbrook, Il, UsHeld 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 semi-structured user-behavior data such as GPS and accelerometer readings into interpretable features for our models. As part of this work, I led the development of software package providing a high-level API on top of Apache Spark which enabled teams to share pieces of their pipelines. We've used this to set up shared code libraries between 5 different teams and enabled data scientists to continuously integrate upstream improvements from data engineers. I used a CI/CD methodology to enable quick changes and improvements to our pipeline as well as to automate regression testing against upstream changes introduced by data engineering teams. On several occasions, these automated builds and tests rapidly alerted us to problems in our modeling pipeline.- Led a junior data scientist in the development of our machine learning model training pipeline which fits cross-validated and regularized models as well as automatically generating model diagnostics and interpretability for regulatory purposes.- Proposed and implemented the feature extraction for several novel features, improving the accuracy of our risk model.- Oversaw a data science intern in her project to set optimal initial rates for new customers on the rating plan, incorporating retention and profitability constraints.- Provided guidance and assistance across the department as a subject matter expert on Apache Spark. -
Data ScientistAllstate Jan 2017 - Mar 2019Northbrook, Il, UsBuilt 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 Prediction-as-a-Service platform to serve the model via an API. Collaborated with app engineers to design logging infrastructure and model performance monitoring.Prototyped a Spark pipeline to build 200,000 GBM models, one for each user, to solve an active research problem. Generated a dataset using a novel data pooling approach where negative observations were synthesized using similar data from other users. Utilized spatial data structures within the distributed job to boost performance. Pipeline featured ETL, feature extraction, model training, and model analysis using vehicle and phone sensor data. Developed Spark new hire training program, contributed to internal software packages, gave seminars on hierarchical linear models and big data visualization, and created a marketing map using 5 billion GPS points.
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Lead Consultant, Laboratory For Interdisciplinary Statistical AnalysisVirginia Tech Aug 2016 - Dec 2016Blacksburg, Va, UsLed 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, genetics, agriculture, and osteopathic medicine. -
Consultant, Laboratory For Interdisciplinary Statistical AnalysisVirginia Tech Aug 2015 - Aug 2016Blacksburg, Va, UsProviding statistical collaboration services to help clients (faculty and graduate students) meet their research objectives
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Graduate Teaching AssistantVirginia Tech Aug 2015 - Jan 2016Blacksburg, Va, UsLead instructional recitation sections and graded assignments
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Data Science InternAllstate May 2016 - Aug 2016Northbrook, Il, UsDeveloped 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.
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Data Science InternAllstate May 2015 - Aug 2015Northbrook, Il, UsPrototyped 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.
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Freelance Academic TutorSelf Employed 2013 - 2015Average improvement of two letter grades among students meeting weekly.
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Data Science InternMriglobal 2014 - 2014Kansas City, Mo, UsDeveloped internal tools in R and Python for data visualization and predictive modeling. -
Undergraduate ResearcherLouisiana State University 2013 - 2013Baton Rouge, La, UsResearched 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.
Daniel Berry Skills
Statistics
R
Python
Microsoft Word
Matlab
Machine Learning
Java
Research
Linux
Data Mining
Data Science
Microsoft Excel
Regression Analysis
Mathematical Modeling
Leadership
Data Visualization
Simulations
Data Analysis
Hadoop
Sql
Apache Spark
Airflow
Groovy
Daniel Berry Education Details
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Virginia TechStatistics -
The University Of AlabamaStatistics
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The University Of AlabamaMathematics
Frequently Asked Questions about Daniel Berry
What company does Daniel Berry work for?
Daniel Berry works for Mozilla
What is Daniel Berry's role at the current company?
Daniel Berry's current role is Staff Data Scientist - Mozilla.
What is Daniel Berry's email address?
Daniel Berry's email address is dberry@vt.edu
What is Daniel Berry's direct phone number?
Daniel Berry's direct phone number is +184785*****
What schools did Daniel Berry attend?
Daniel Berry attended Virginia Tech, The University Of Alabama, The University Of Alabama.
What skills is Daniel Berry known for?
Daniel Berry has skills like Statistics, R, Python, Microsoft Word, Matlab, Machine Learning, Java, Research, Linux, Data Mining, Data Science, Microsoft Excel.
Who are Daniel Berry's colleagues?
Daniel Berry's colleagues are Karen Mcneil, Sandra Da Fonseca, Albarr Muzarin, Adria Kyne, Hamza Zahid, Fred Johnstone, 22 Fever.
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