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Lead Data Scientist Resume

New, JerseY

SUMMARY:

Accomplished and resourceful data scientist with expertise in statistical analysis, data management, and reporting for pharmaceutical, insurance, and retail industries. Dedicated professional highly skilled in SAS, SQL, Teradata, and Netezza across multiple platforms and environments including Unix, MVS, and Windows. Collaborative leader with demonstrated ability in both supporting and learning from colleagues to achieve best possible project outcomes. Knowledgeable of tableau dashboard development. Experienced in Visual Basic and advanced applications in Microsoft Office Suite. Hold graduate degree in Biostatistics as well as s in SAS Advanced Programming, Applied Data Science, and Applied Machine Learning using Python. Committed to continuous .

AREAS OF EXPERTISE INCLUDE:

  • Statistical Analysis
  • Machine Learning
  • Inventory Management
  • Data Management
  • Supply Chain Management
  • Data Reporting
  • & Leadership
  • Data Science
  • Ecommerce Fraud & Safety
  • Pharmaceutical Claims Analysis
  • Epidemiological Research
  • Insurance Claims Analysis

PROFESSIONAL EXPERIENCE:

Confidential, New Jersey

Lead Data Scientist

Responsibilities:

  • Collaborate with Loss Prevention team in applying data science to track inventory, supply chain, and ecommerce fraud and safety.
  • Explore data feeds for ML related initiatives through data science vendor engagement.
  • Supervise two data scientists in supporting data science initiatives.
  • Built LP Analytics Roadmap and developed a suite of Tableau Dashboards for inventory management.
  • Slashed 300 working hours per month by extending SKU grouping ML algorithm from two categories to all product categories for the Confidential & Confidential website.
  • Oversaw development of Primary Noding ML algorithm that automated product placement in the Web Navigation Hierarchy.
  • Managed team of 4 data engineerins / data architects for data enablement function.

Senior Analyst

Confidential

Responsibilities:

  • Led reporting and analytics for campaign management, DRM, custom segmentation, and RFM metrics.
  • Utilized Teradata SQL, SAS/Graph, Stored Processes, and Visual Basic.
  • Trained department colleagues in using SAS.
  • Built Ecommerce Dashboard and Customer Dashboard for senior management.
  • Created RFM Migration Reporting Tool to track and evaluate customer deciles.
  • Simultaneously slashed mailing from 12M to 8M and boosted sales for Back - to-College program through CHAID analysis.
  • Created Ecommerce customer segmentation and performed other segmentations and cluster analysis for various projects.
  • Initiated internal SAS Users Group.

Confidential, Franklin Lakes, New Jersey

Senior Manager

Responsibilities:

  • Directed forecasting, risk management, statistical analysis, and reporting.
  • Utilized Risk Management Tool (RMT).
  • Completed statistical evaluation of outreach programs, including SocratesRx.
  • Prepared bi-weekly forecasts for pricing metrics.
  • Supervised Net Effective Discount (NED) tool’s software development.
  • Educated colleagues on SAS.
  • Built Adherence Gaps Database to track relevant outreach.
  • Formed internal SAS Users Group.

Confidential, Franklin Lakes, New Jersey

Manager

Responsibilities:

  • Oversaw data acquisition function for Clinical Analysis and Outcomes Research (CAOR).
  • Partnered with clients and pharmaceutical researchers to integrate medical and drug claims.
  • Facilitated outcomes research programming and analysis.
  • Derived outcomes related metrics by analyzing integration of HCPCS/ICD9 codes.
  • Led Probability Sample development efforts.
  • Developed Home Delivery Forecasting Model.
  • Created Probability Sample cohorts for drug utilization research.

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