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Principal Data Scientist /research Leader Resume

SUMMARY

  • Analytics Practice/Product designer based on strategically focused data engineering, data science & software delivery
  • Project manager & consummate consultant who has managed large scale teams (20+) across different functions, levels including executives & off - shore management experience
  • Has an exceptional aptitude for verbalizing mathematics to business audiences & translating their business issues into solvable, actionable, & systematize-able mathematical solutions & systems
  • Big Data Enterprise Data Scientist & Engineer/Intelligence Architect/Research Leader with a strategic & passionate focus in building an analytics business
  • Consistent Benchmark Buster with a proven track record in mathematical & computational algorithm design & implementation with a unique background in integrated text {Natural Language Processing, Concepts/Semantic Search, LSA(Latent Semantic Analysis)} & numerics in decision engines & BI focusing on: integrated enterprise-wide analytic solutions through machine learning/Artificial Intelligence(automated decision engine) design, build, diagnostics, & implementation
  • Roadmap designer: strategic & tactical: data science (predictive analytics that include semantic/text analytics), LSA (Latent Semantic Analysis), data engineering/design/modeling, machine learning/AI, process engineering, data governance, software design using object oriented programming (OOP)
  • Intelligence designer, creator & extractor of integrated mathematical and algorithmic solutions
  • My Expertise & Experience: Strategic & Operational Intelligence
  • Designing & operationalizing dynamic decisioning engines, BI, machine learning systems is a passion & a mission

PROFESSIONAL EXPERIENCE

Principal Data Scientist /Research Leader

Confidential

Responsibilities:

  • Leadership advisor/SME & strategist on the subjects of statistics/data mining & the business of analytics & data
  • Write product offerings & go-to-market strategies
  • Product design & implementation; Design & research analytical products for outside sales & an analytical foundation for a consulting practice
  • Architect mathematical & computational algorithms for machine learning/artificial intelligence systems
  • Manage all technical documentations: Business/technical requirements, project plans/discussions, system codes (data cleansing, models derivation, quality control, BI) & all presentations to various owners & decision makers
  • Collaborate across business units to design product offerings from concept to market; deliver the products & productionalize the products off-shore; this included a strong analytical self - governing machine learning component of the global model efficacy system
  • Manage a cross functional team of in-house, outside consultants & off-shore resources
  • Design overseas outsourcing strategies from inception to final delivery. Serve as a lead analytical & solutions architect for projects
  • As a data engineer, devise the backend delivery data & collaborate with a team of software engineers to deliver the on-line data view & analytics
  • Interview various participants & write the business, technical, analytical, & functional requirements

Confidential

VP/Senior Finance Director

Responsibilities:

  • Designed, implemented & presented risk strategy & first line of defense mathematical models against charge-off & overdraft for the company
  • Served as an analytics/BI/SAS Capacity Planner during analytics & data infrastructure design & selection
  • Managed, led, taught & worked with vendors & RBS’s cross functional teams
  • Documented & validated all models for the Risk Committees before & after operationalization. Worked with IT to assess & implement new software & technology
  • Managed 10 TB of data while serving as an analytical data design architect
  • Provided thought leadership around dynamic model design & execution, semantics intelligence, automated business intelligence, database design for analysis & decisioning, & dynamic decision engine design
  • Designed & implemented all live market experiments & their corresponding tracking systems & documented the final results

Confidential

Director of Heuristics & Algorithm

Responsibilities:

  • Member of an internet start-up that focused on local search, social networking & semantics web/web3
  • Thought leader in the areas of: semantics intelligence (taxonomy, folksonomy design & strategy); web analytics for operational efficiency, dynamic decisioning, data & database design; analytical search engine optimization; integration of structured & unstructured data for artificial intelligence in BI (business intelligence) & in dynamic decision engine design
  • Inculcate strategic initiative around semantics intelligence, web analytics, & the integration of text & numbers (unstructured & structured data) for data mining & decision engines design. Most frequently used techniques are: Bayesian filtering/poisoning, pivotal normalization, naïve Bayes, Markov chain, r&om walk/stochastics processes, cluster analysis, factor analysis, principal components, regression, logistics regression, time series, quality control, experimental design, categorical analysis
  • Serve as an SME integrated enterprise-wide analytical strategy, analytical decision engines build & business intelligence systems. Focus is on marketing reporting & forecasting by using various statistical techniques
  • Serve as an SME to the businesses on technical issues & problem solving by using data & analytics. Manage vendor relationships. Research focus: clustering of forms & curves

Confidential

VP/Senior Finance Director

Responsibilities:

  • Member & owner of a start-up company that focus on mining the text through use of Natural Language Processing methods (NLP) of insurance claims within the verticals (auto, home owners/rentals, casualty, worker’s compensation) of the insurance industry
  • Designed & built real-time decision engines for the insurance industry using structured & unstructured data. Data mined through text (unstructured ) & structured data to determine subrogation response scores, which were later used to determine claims subrogation actions
  • Built claims dictionary, taxonomy & ontology using categorical & naïve Bayes statistical algorithms
  • Develop new products for the company & provide on-going insight to search engine algorithms & scoring engine development. Manage & support all aspects of product delivery & client service

Confidential

SVP of Risk, Systems & Analytics

Responsibilities:

  • Design & derive statistics & models for credit risk, operational risk & economic risk. Design database & performance metrics for credit, operational, & market risks to be incorporated into capital allocation analysis & Basel II preparation: Built PD, LGD, EAD models for capital allocation & performed sensitivity & scenario analysis
  • Manage a group of business analysts & up to VP Level
  • Managed a group budget of $2.5 MM: capacity planning, software selection, vendor management
  • Design, update & report portfolio analysis for internal, external & for the board of directors of Confidential
  • Provide CFS leverage results through statistical analysis during yearly capital allocation process
  • Design analytical decision engines for account & portfolio management within CFS. Design processes & controls for Sarbanes-Oxley compliance
  • Work with cross-functional teams to drive, derive & deliver a systems & analytics solution for the business. Work with outside systems vendors to design a systems solution for the group

Confidential

Senior Manager

Responsibilities:

  • Client facing role which involved management & development of CRM solutions & CRM solution strategies for multiple industries from requirements gathering, SDLC, project management through design & roll out of all analytical projects
  • Served as a project manager/planner & capacity planner for projects
  • Designed & built: 1) analytical architecture (brains) of marketing engines that include: segmentation, acquisition, retention, cross-sell & risk 2) performance metrics, predictive & descriptive models for real-time integrated marketing systems that encompass all customer touch-points such as call centers & internet contacts 3) the sampling schemes, campaigns & campaign test strategies. Led the modeling of individual pieces within the analytical architecture
  • Led, taught & guided analytical teams internationally
  • Identified necessary hardware, software, data infrastructure & analytics for solutions implementation
  • Operationalized the models with the technology teams. Interacted with the clients to assess their capacities & processes to design the final deliverables. Presented the deliverables
  • Worked with other Confidential practices to generate analytical business. Introduced & created new analytical techniques & approaches to the Customer Insight practice

Confidential

Statistical Consultant

Responsibilities:

  • Developed all inferential & predictive scoring models which were fully compliant with the Fair Lending Laws
  • Built Automated Underwriting credit scoring models & led data collection & other modeling efforts that include: design of experiments; SAS programming; modeling & the implementation of models
  • Performed disparate impact analysis on all Confidential 's front line models. Actively sought other quantitative business opportunities within Confidential
  • Internal clients include: Wholesale, Correspondent, & Retail business lines, Trade Desk, QCMS, Fraud unit, Legal & Structured Finance. On these projects, served as client's primary contact, defined the problems with senior executives, secured data & computing resources from IT, statistically modeled the business problems, provided viable solutions, & presented the findings
  • Worked with outside vendors & rating agencies. Determined data structure & data necessity for all outside data vendors. Provided business uses & needs that the vendor data will address

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