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Lead Data Scientist Resume

SUMMARY

  • Solution - oriented data scientist and statistical programmer with an eclectic educational and professional background
  • 12+ experience with major financial and research consulting firms including Confidential, Confidential, & Confidential
  • Well-versed with all aspects of data science - from complex data-wrangling, to developing statistical and machine-learning models end-to-end
  • Experience advising clients in use of statistical models for decision management, halping to reduce uncertainty and optimize business strategy

TECHNICAL SKILLS

Industries: Insurance, Retail, CPG, Consumer Finance, Mortgage Finance, Clinical Research, Legal Arbitration

Techniques: Linear / Logistic Regression, Time Series Modeling & Forecasting, Clustering / Segmentation, Decision Trees, Support Vector Machines, Neural Networks

Tools: SQL, R, SAS/SAS Macro Language (SAS-Certified “Advanced”), Python (noob)

RDBMS: Teradata, IBM Netezza, HDFS (Hadoop)

PROFESSIONAL EXPERIENCE

Lead Data Scientist

Confidential

Responsibilities:

  • For a prominent omnichannel commerce technology and order fulfillment company
  • Led a team in building a suite of demand forecast models to optimize warehouse inventory
  • Developed approach to clustering products by pattern of demand, implemented in R
  • Designed and implemented interface for Cancellations and Returns analysis
  • Developed Markdowns and Promotions analysis to reveal optimal pricing strategies
  • For a leading software-licensing company:
  • Built classification models to produce likelihood of status discrepancies between customer-account tracking databases
  • For a U.S. health insurance provider:
  • Built 30+ log-linear time series models to forecast healthcare claims volume using internal and external economic and weather data. The models covered annual claims of USD 250MM and improved forecast (MAPE) by 117 basis points on average
  • Created a lexer and parser within two weeks to parse and summarize 2.5 million lines of non-rationalized analytic and reporting code--results were instrumental in reducing and streamlining request fulfilment workload of 80-person team and improving turnaround-time, quality, and experience of analyst community
  • Developed skills- and aptitude-assessment for screening applicants and transfers to highly-selective Data Science Unit.
  • Performed a meta-analysis of external-facing technical & marketing material—the resulting recommendations to improve impact were institutionalized across unit
  • Developed code-templates for initial statistical discovery and visualization of raw data
  • For a large U.S. life insurance company:
  • Built a suite of machine learning models to predict agent attrition from sales activity of various kinds and demographic data--suggested operating point that improved precision 6.2x
  • For a large lifestyle retailer:
  • Built a logistic response model using behavioral, demographic and other information from complex and incomplete data
  • Performed data enrichment through mining of internal and external sources to impute consumer characteristics
  • For a leading U.S. Confidential:
  • Streamlined and standardized the process of updating cardinal information to ensure compliance with critical regulatory deadlines
  • Gathered requirements for and conceptualized cyclical-notification control reports
  • Investigated extent and impact of data quality issues affecting timeliness and accuracy of reporting
  • For a leading consumer-finance company:
  • Developed code to produce partnership and cobrand datamarts on cyclical basis, responsible for development, validation, and testing of system
  • Performed in-depth validation of inputs and outputs for reimplementation across platforms of several retrospective model scores
  • Managed daily consumer-level data export to corporate datamart, troubleshot malfunctions, performed retroactive data loads and implemented validation modules
  • Performed cross-platform validations of credit-marketing and bureau-attribute data sources

Graduate Assistant

Confidential

Responsibilities:

  • Resource Manager- Art & Architecture Library Drawing Database
  • Teaching Assistant - Printmaking
  • Teaching Assistant - Finance, Insurance, & Business Law

Programmer Analyst

Confidential

Responsibilities:

  • Provided programming and consulting support on a number of prospective and retrospective late-phase studies and marketing surveys for several leading pharmaceutical and healthcare-technology companies
  • Coordinated with American and European market research firms to recruit participants for large clinical and marketing studies.
  • Performed data extraction, cleaning, analysis, and reporting operations in SAS and Excel
  • As Lead Analyst, formulated and executed Statistical Analysis Plans in accordance with study protocols
  • Coordinated with study centers to meet enrollment and completion targets, as well as produce and report preliminary and intermediate findings and respond to client inquiries
  • Generated statistical output and table shells using acquired raw data via data step processing, statistical procedures, proc report, and macros, ensuring consistency with project plans and SOPs
  • Produced final Statistical Analysis Report and other deliverables for client
  • Uncovered and resolved several major errors in program methodology through dual-validation quality control checks
  • Extracted and cleaned large non-standardized data files from varying state-government sources using complex infile statements and text functions in order to generate a consistent error-rate measurement across states
  • Performed literature reviews and other research in support of articles, reports, and proposals
  • Produced or edited articles, proposals, protocols, reports, presentations, conference posters, guidelines, tables, and graphs
  • Conducted data-gathering interviews with key study participants

Programmer Analyst

Confidential

Responsibilities:

  • Diagnosed and resolved problems associated with cyclical production process in a mainframe environment
  • Developed and integrated new code; documented problems/solutions and instructions for proper use of the system
  • Retrospectively produced monthly data reports for the previous year by gathering, cross-referencing, standardizing, and cleaning archived data file

Consultant

Confidential

Responsibilities:

  • Generated data and reports used in trial testimony and legal arbitration
  • Developed scripts used in estimation of market share of certain products for major pharmaceutical company clients
  • Designed and executed bootstrap statistical simulations
  • Performed inventories of sensitive database information as part of the legal discovery process
  • Prepared and delivered a training seminar in programming techniques
  • Automated several aspects of cyclical production processes

Senior Management Analyst

Confidential

Responsibilities:

  • Performed statistical tests using SAS/STAT procedures for a large employee survey analysis
  • Generated credit-subsidy rates within a GSE policy & finance analysis model; developed model enhancements; took a leading role in managing production cycle
  • Performed monthly fair-market valuations of a major labor union’s housing-investment trust’s multifamily investment portfolio using a Visual Basic spreadsheet model; managed transition of key staff; responsible for transfer of knowledge and renewal of contract

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