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 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:- 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.