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Data Scientist Resume

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San Diego, CA

EXPERTISE AREAS:

Data science, hands - on coder, temporal and log analysis, SQL, NoSQL, visualization, time-motion, operations research, UX, econometrics, algorithm, machine learning, computational statistics, Mathematica, AWS.

EXPERIENCE:

Data Scientist

Confidential, San Diego, CA

Responsibilities:

  • Authoring book/videos: "Functional Data Workflow: Practical Methods with a Time - Motion UX Case Study"
  • Defining a business model for project-oriented coding camp/data incubator in collaboration with Wolfram Research
  • Developing content for "Machine Learning in Finance" course for Fitch Learning

Consultant

Confidential, Franklin, TN

Responsibilities:

  • Full time consultant: data analytics, econometrics forecasting, business reporting, healthcare fintech startup
  • Worked with COO on data analysis and machine learning development and application to operational data
  • Implemented software pipelines for client - facing business reports (eg, projections, financial reserves)
  • Responsible (with treasuer) for maintaining code, report integrity, financial reconciliation
  • Responsible (with COO) for predictive model evaluation and optimization
  • Data extracted from transactional healthcare claims and clinical electronic records
  • Regression and time-series models trained on ~50M historical transactions (10-100GB scale)

Tools: Mathematica desktop, Mathematica Online on Amazon AWS; SQL

Statistician

Confidential, La Jolla, CA

Responsibilities:

  • Co - lead (with PI) scientific research project plan & development: time-motion/UX/OR studies in clinical settings
  • Responsible for securing total ~$10M in competitive federal funding through 3 multiyear (R01) studies
  • Lead analyst: responsible for data management, security, pilot, dictionaries, methods, scientific communication
  • Responsible (with project manager) for IRB protocol compliance
  • Responsible for quarterly progress and final reports to funding agencies
  • Supervised analysis team; trained and mentored assistants and analysts (dictionaries, code review)
  • Developed and organized workshops to disseminate findings to technical and clinical staff ( Confidential, VA)
  • Participated as SME in Veterans Affairs national initiatives (Hi2, Vista Evolution/eHMP) to redesign enterprise IT
  • Defined requirements for commercial proposals (IBM, others) for VA Usability Analytics platform
  • Helped prototype: Active Notes app combining medication order entry & documentation (VE/eHMP)
  • Led "Clinical Event Browser" app prototype and visualization study funded by VA Human Factors Engineering
  • Developed a "Functional Data API" Application Programming Interface based on these studies/methods

Tools: Mathematica, Google and Dropbox cloud sharing, Excel, misc storage formats

Senior Statistician

Confidential

Responsibilities:

  • Participated in I2B2 NLP (Natural Language Processing) project for processing temporal events in healthcare
  • Developed graph theoretical methods and visualization go help guide project participants

Tools: Mathematica, Dropbox file sharing, misc formats

Statistician

Confidential

Responsibilities:

  • Data Analyst/scientist on preliminary time - motion/UX study of doctor-patient communication in real-world outpatient settings based on video capture of visit activity
  • Developed data analysis methods leading to scaled up studies

Tools: Mathematica, misc file formats

Postdoctoral Research

Confidential, La Jolla, CA

Responsibilities:

  • Developed Survival models in oncology for select cancer types
  • Responsible for model evaluation and selection, scientific communication
  • Data in CSV/Excel spreadsheets extracted based on expert graded imaging and biomarkers feature modeling, dim reduction (tSVD) similarity search, k - means, graph-based clustering, regression using resampling (bootstrap analysis)

Tools: Mathematica, various data storage formats (Excel, tabular, SQL)

Statistician

Confidential

Responsibilities:

  • Forensic fault detection in experimental communication systems
  • Development network analysis methods, temporal clustering, sequence analysis
  • Data extracted from logs of large scale disaster responses drills
Tools: Mathematica, Postgres SQL log extraction

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