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Senior Data Scientist Resume

San Jose, CA

PROFESSIONAL SUMMARY:

  • 10+ years of work experience in IT in Data Science R/SAS/Python/Tableau and Machine Learning.
  • Expertise in analyzing data and building predictive models to help provide intelligent solutions domain.
  • Experience in Extracting data for creating Value Added Datasets using Python, R, SAS, Tableau and SQL to analyse the behaviour to target a specific set of customers to obtain hidden insights within the data to effectively implement the project Objectives.
  • Experience in using Statistical procedures and Machine Learning algorithms such as Confidential, Clustering and Regression and Time Series Analysis to analyze data for further Model Building.
  • Experience in applying Predictive Modelling and Machine Learning algorithms for Analytical projects.
  • Experience in data driven statistical analysis like hypothesis testing, correlation among the variable, outlier detection, analysis of variance, probability theory.
  • Good knowledge of Big Data, Hadoop and Spark.
  • Experience with the Tableau Desktop and Server.
  • Understanding of Deep learning.
  • Hands on with creating Reports, Dashboard, aggregates, Hierarchies, Charts, Filters, Quick filters, Table calculation, trend lines calculated measures in Tableau.
  • Experties in Natural Language Processing (NLP) like Sentiment Analysis.
  • Strong knowledge in AWS AIPs and cloud computing.

TECHNIQUES:

Machine Learning: classification, regression, clustering, Data mining and Text mining.

NLP: Machine Translation, Speech Recognition and Sentiment Analysis.

Statistical Methods: Time series, regression models, hypothesis, testing.

Languages: C, C++, SQL, JCL, Python (Scikit - learn, Numpy, Scipy and Pandas), SAS, Tableau and R.

RDBMS: SQL Server, DB2, Oracle

WORK HISTORY:

Senior Data Scientist

Confidential, San Jose, CA

Responsibilities:

  • Responsible for performing Machine-learning techniques regression/classification to predict the outcomes.
  • Responsible for design and development of R/Python programs to prepare transform and harmonize data sets in preparation for modelling.
  • Perform Data mining and Text mining with the help of Confidential .
  • Performed Ad-hoc reporting/customer profiling, segmentation is using Tableau.
  • Tracked various campaigns, generating customer profiling analysis and data manipulation.

Tools: used: SQL, Excel, R-Programing, Python, Tableau, NLP, and Machine- learning, and Deep learning.

Senior Data scientist

Confidential

Responsibilities:

  • Collaborate with provider practices on innovative programs that improve affordability and health.
  • Translate business needs into practical applications and solutions.
  • Perform data mining and text mining in Python with Confidential process.
  • Worked on customer churn using predictive modelling
  • Experience in managing the design, development, and continuous improvement of complex healthcare data systems, tools, and reports.

Tools: used: SQL and Excel, R-Programing, Python, NLP, Tableau, and Machine-learning.

Data Scientist, Plano, Tx

Confidential

Responsibilities:

  • Designed and developed schema data models.
  • Coordinated statistical data analysis, design, and information flow.
  • Responsible for performing Machine-learning techniques regression/classification to predict the outcomes.
  • Provided R/SQL programming, with detailed direction, in the execution of data analysis that contributed to the final project deliverables.

Sr Application Development Analyst, Plano, Tx

Confidential

Responsibilities:

  • Retrieving data from database through SQL as per business requirements.
  • Create, maintain, modify and optimize SQL Server databases.
  • Manipulation of Data using BASE SAS Programming.

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