Senior Data Scientist Resume San Jose CA - Hire IT People

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 ANOVA, 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.

TECHNICAL SKILLS:

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

PROFESSIONAL EXPERIENCE:

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 NLP.
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 NLP process.
Worked on customer churn using predictive modelling (Logistic Reg)
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

Confidential, Plano, Tx

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

Confidential, Plano Tx

Responsibilities: