SUMMARY:

• 6+ years hands - on experience in data analysis and machine learning projects.
• Strong understanding of data science project life cycle and experience in developing variety of statistical models, machine learning and data mining solutions for business requirements and data visualizations using R, Python and Tableau.
• Adept in statistical techniques such as descriptive statistics, correlation, hypothesis modeling, inferential statistics, multivariate analysis, model comparison and validation.
• Proficient in data wrangling and data mining of structured data using SQL, PL/SQL, Talend, R programming and python.
• Familiar with building supervised and unsupervised machine learning experiments in Microsoft Azure, Python and R programming to perform detailed predictive analytics and building Web Services models for different data types.
• Experienced in implementing linear & logistic regression, classification modeling, decision-trees, cluster and segmentation analysis, Time Series analysis, Principle Component Analysis using Python and R programming.
• Strong understanding of all aspects of data warehousing and experienced in ETL techniques using SQL, Toad and Informatica (PowerCenter, IDQ
• Strong knowledge of RDBMS concepts and familiar with various relational database platforms such as Oracle, DB2, NoSQL, etc.
• Experienced in visualizing and reporting real-time insights using Tableau, ggplot, matplotlib to increase project visibility and ensue better business decision.
• Strong knowledge in Big Data processing in Hadoop ecosystem using Hive, Spark, Hive, Pig, Impala, MapReduce.
• Experienced in using various packages in Python and R like ggplot2, caret, dplyr, Rweka, gmodels, RCurl, tm, C50, twitteR, NLP, Reshape2, rjson, plyr, pandas, numpy, seaborn, scipy, matplotlib, scikit-learn, Beautiful Soup, Rpy2.
• Proficient in research of current process and emerging technologies which need analytic models, data inputs and output, analytic metrics and user interface needs.
• Good Knowledge in Proof of Concepts and gap analysis.
• Excellent understanding of Systmes Development Life Cycle (SDLC), Agile, Scrum and waterfall.
• Sound business intelligence and analytical skills with ability to extract insights and identify risk factors through careful analysis of statistical data.
• Effective team player with strong communication and interpersonal skills, possessing strong ability to adapt and learn new technologies and new business lines promptly.
• Data Science professional with strong math background and over six years of experience in diverse technology projects specializing in Data Science, Data Analytics, Data Quality, Azure Machine Learning and Tableau. Has excellent communication skills and passionate to learn.

TECHNICAL SKILLS:

• Python
• Tableau
• Oracle
• R
• SQL
• C
• Python Libraries
• Power BI
• Gretl
• Talend Data Preparation
• Azure Machine Learning
• Hadoop
• MS-SQL
• MS-Office
• MS-Access

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential - McKinney, Texas

• Designed applications of Machine learning, Statistical Analysis and Data visualizations with challenging large data processing problems
• Executed entire Data science Life Cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, feature scaling, feature engineering and statistical modeling.
• Performed preliminary data analysis using descriptive statistics and handled anomalies such as removing duplicates and imputing missing values.
• Implemented predictive models using machine learning algorithms like Linear Regression, Logistic Regression, Random Forest, Naive Bayes, K Means Clustering, K Nearest Neighbor and performed in-depth analysis on the structure of models, compared the performance of all the models.
• Proficient in the entire CRISP-DM life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering,
• Extensively used Azure Machine Learning to set up the experiments and creating Web services for the predictive analytics
• Enhanced predictive models to improve accuracy and precision to over 80% in test data set.
• Performed feature scaling, feature engineering and statistical modeling.
• Worked on writing complex SQL queries in performing Data analysis using joins, improving performance by creating partitioned tables.
• Created multiple workbooks, dashboards, and charts using calculated fields, quick table calculations, Custom hierarchies, sets & parameters to meet business needs using Tableau.
• Worked on structured and unstructured text data to create NLP model for sentiment analysis using NLTK and Azure Machine Learning
• Responsible for working with stakeholders to troubleshoot issues, communicate to team members, leadership and stakeholders on findings to ensure models are well understood and optimized.

Data Analyst

Confidential - Irving, Texas

• Collected, organized, manipulated, analyzed a wide variety of data using SQL, Python
• Identified and interpreted trends or patterns in complex data sets using statistical techniques and provided ongoing reports.
• Analyzed customer consuming behavior and discover value of customers.
• Applied customer segmentation with clustering algorithms and develop geo-demographic customer segmentation models.
• Delivered Interactive visualizations/dashboards using Tableau to present analysis outcomes in terms of patterns, anomalies and predictions.
• Implemented predictive models to current business and performed what-if analysis on the structure of models.
• Performed root cause analysis to identify process breakdowns through use of various Data Visualizations using Tableau.
• Worked on data to increase Cross-sell and Up-sell revenues, enhance customer value or reduce non-credit losses.
• Interfaced with the other departments to understand and identify desired insights and determine data needs and requirements
• Gathered analyzed & translated business requirements into relevant analytic approaches & shared for peer review.

Quality Analyst

Confidential

• Performed various testing methods like Functional Testing, System Testing, Stress Testing, Regression Testing and Installation Testing.
• Analyzed Functional Requirement and Business Requirement Documents to get a better understanding of the system on both functional and business perspectives.
• Involved maintaining requirements and maintained the traceability matrix between the requirements and Test cases.
• Derived Test Cases from functional requirement documents.
• Actively participated in Test Plan preparation, Involved in Test Cases Review.
• Execution of defined test cases on each build.
• Tested and validated functionality of new screens for customized applications.
• Attended QA Walk through meetings with Team Member this includes tech specs review, functional specs review and defects tracking.
• Used Client’s Bug Tracking system to Reporting and track the bugs to closure.
• Participated in Walk through and Defect report meetings periodically with client.
• Communicated with development team to resolve the issues, performed regression testing to verify that bug fixes did not break some other functionality.
• Involved in User Acceptance Testing.