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Chief Of Research And Data Science Resume

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Baltimore, MD

SUMMARY:

  • Delivering quantitative business solutions using machine learning, statistical data analysis/ modeling, mathematical methods and code development Corporate experienced astrophysicist delivering innovative business solutions by hands on data statistical analysis, machine learning algorithms, numerical simulations and effective project management.
  • Track record of delivering:
  • Active Kaggler with e xtensive statistics and machine learning experience (Python/NLTK and R scripting to generate ensembles to model and predict acquisition, retention and churn related metrics , HDFS / Hive / SparkR / Hue while generating data sets for further processing in Hadoop for topics modelling, A/B significance testing in email campaigns, STATISTICA to deliver peer reviewed, repeated measures and MANOVA treatments for Confidential , h2o / MXNet / Keras for competitive pricing FF, RNN, LSTM neural networks modeling ).
  • Increased value of Confidential i mplemented projects from 0.5 to 5 MEuros in 3 years
  • Generated scientific proposals and received funding for research projects heavily based on statistical analysis

TECHNOLOGY EXPERIENCE:

Data mining / machine learning techniques, R, dplyr/sparklyR, h2o, MXNet, Keras, Dataiku, Shiny, Hadoop, HDFS, Hive/Hue, Alteryx, SQL, AWS, Python /NLTK, FORTRAN, C, VB/ JavaScript, ASP, CSS, XML, Windows, Linux

EXPERIENCE:

Confidential, Baltimore, MD

Chief of Research and Data Science

Responsibilities:

  • Leading/prototyping data science initiatives for Confidential .
  • Implementing innovative solutions in NLP knowledge extraction, client lifetime value profiling and modeling, client basis segmentation, acquisition targeting, churn/retention modeling, channel optimization, fraud, waste and abuse detection in health insurance, finance and topics modelling in consulting

Confidential, Baltimore, MD

Chief of Research and Data Science

Responsibilities:

  • Responsible for Confidential 's research and data science related processes, including but not limited to investigation, analysis, design and implementation of advanced analytic techniques using an arsenal of machine learning and mining methodologies and tools.
  • Active in a range of projects extending from public transit network Markov modeling to ROI forecasting and sentiment analysis from unstructured

Technology Director

Confidential

Responsibilities:

  • Client profiling using classification/clustering algorithms (k - Means, k-NN, random forests, ensembles, etc)
  • Defining, collecting, reducing, statistically analyzing and modeling web data pertaining to the effectiveness of various marketing channels adopted by client companies (A/B testing regarding content, code, layout etc)
  • Applying correlation and regression analysis, non-linear models, ( non-) parametric classification models on web data related to client email campaigns (involved in coding and/or scripting as per the tools used)

Confidential

Director of the Innovation and Technology Transfer Center

Responsibilities:

  • Managing implementation of Confidential web services (SOA) based projects, each averaging 0.5-5.0 Million Euros
  • Long term planning, staffing, project managing, hardware/software/network infrastructure management, financial projections, tenders and proposals overview
  • Managing approximately 40 experienced IT professionals 

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