Principal Data Scientist responsible for overseeing multiple customer accounts in a professional services setting. Responsibilities include:* Building classification models using XGBoost on CMS claims data to predict acute healthincidents such as unplanned hospital admissions.* Built automated QA scripts to ensure that data and models were fit for use beforedelivering to clients.* Mentored and led a team of data scientists working in a wide variety of areas such asNephrology and Oncology.* Identifying areas of opportunity to leverage our clients’ data to offer additional modelsand analytics to support their use cases.

Data science and engineering manager responsible for designing and delivering a data engi- neering and analytics platform to process complex algorithms on clinical trial data at scale. Responsibilities include:* Write prototype and production code to extract, process, QC (quality control) largedatasets produced by wearable devices.* Produce clinical datasets in timely manner to transfer to clients and support analysis.* Collaborating with product, engineering, and customer teams to gather requirements,manage cross-team dependencies, and set timelines.* Contributing to and overseeing the design and development of a micro service-based dataplatform leveraging Docker, AWS ECS, and AWS Fargate and written in python.* Ensuring the platform adheres to all relevant FDA guidelines for clinical trial data.* Manage and mentor a team of software developers and data engineers.

Project manager and technical lead for multiple end-user facing analytics products. Responsibilities include:* Technical lead and project owner for a reinforcment learning based next best engage-ment model trained to optimize sales lift and engagement rates for direct-to-consumermarketing campaigns.* Project contributor on a cloud-based enterprise data science platform that provided theend-user access to S3, Databricks clusters and notebooks, as well as our data lake in aunified platform.* Project contributor to an in-house chatbot app which acted as a personal digital assistantto the sales force and was engineered in a multi-cloud environment.* Lead data scientist and data engineer on an iOS app that delivered account and physician level data and predictive analytics to the sales force to help understand the prescribingdynamics of their accounts better.* Mentored and led multiple junior data scientists and interns either through hands-onproject work or through our weekly machine learning seminars and tutorials.

Senior machine learning engineer leading efforts to identify and mitigate indicators of compromise within a big data environment. Responsibilities include:* Lead developer on a streaming threat intelligence platform built in AWS and using flinkto perform near real-time aggregation, enrichment, and analysis on inbound cyber observables.* Created an anti-fraud model using stacked autoencoders in Keras with a Tensorflowbackend that outperformed all previous fraud models on that data set.* Led a team of engineers in an agile framework to design and produce large-scale dataingest and analysis platforms.

Senior data scientist for an early stage startup responsible for building the analytics pipeline from the ground up. Accomplishments include:* Built network graphs of hospitals in graphx and analyzed them to find anomalous out-of-neighborhood access to patients.* Led development of a multi-channel analytics pipeline to flag inappropriate medicalrecord access using spark.* Built a machine learning package using spark-ml and scala to automate classificationtraining tasks for use in both research and production.* Developed ETL code to ingest and aggregate datasets in spark/scala.* Built random forest models to infer employee roles from medical record access to augmentmissing HR data.* Used PCA to uncover unusual fluctuations in time-series data pertaining to employeebehavior.* Encouraged and mentored junior data science team members on multiple projects.* Led agile development practices within the research group.

Predictive modeling and text mining for multiple government contracts. Responsibilities include:* Wrote an entity resolution algorithm in java for use on large databases and optimizedfor calculation speed.* Productionized several random forest classification models to flag suspicious behavior.* Wrote a Change Point Model in python to detect shifts in shipment behavior.* Wrote algorithms in python which implemented NLTK to automate the formatting, miningand XML mark-up of the entire SEC 10-K and APPS corpi.* Contributed to the writing of technical plans for successful contract bids.

Lead data scientist in charge of predictive modeling for the marketing department. Responsible for cleaning and pre-processing data as well and prototyping and building new and more robust models to predict future enrollments.

Assisted in the installation and commissioning of the Endcap Muon system of the CMS experiment. Designed, programmed, and maintained software both for use by the entire collaboration and for personal analysis use. Performed data analysis while working with a variety of collaborators as well as independantly. Accomplishments include:Developed new pattern recognition software to reconstruct high-momentum particles and new particle identication algorithms for use by the entire CMS experiment.Developed a boosted decision tree based analysis to be used in the search for new, undiscovered particles.Gained experience working with a number of different collaborations of various sizes toaccomplish common goals.

Physics instructor in charge of teaching and curriculum development for introductory laboratory courses.

Commisioning of muon drift tube chamber hardware and electronics before installation in the experimental cavern. Responsibilities include: Hardware and electronics installation. Machining new and replacement parts. Sensor calibration and electronics testing. Gas system pressure/leak testing and plumbing.