SUMMARY:

• 7 Plus years of IT industry experience encompassing a wide range of skill set.
• Over 4 plus years of experience with Statistics, Data Analysis, Machine Learning using R language and Python.
• Strong with ETL, Data warehousing, Data Store concepts and OLAP technologies.
• Worked in Amazon Web Services cloud computing environment.
• Experienced in SQL programming and creation of relational database models.
• Experienced in creating cutting edge data processing algorithms to meet project demands.
• Worked with applications like R, SPSS and Python to develop neural network algorithms, cluster analysis .
• Worked with packages like ggplot2 and shiny in R to understand data and developing applications.
• Worked on Tableau, Quick View to create dashboards and visualizations.
• Automated recurring reports using SQL and Python and visualized them on BI platform like Tableau or QuickView.
• Strong experience working with SQL Server 2008, RStudio, MATLABOracle10i, Sybase.
• Worked on Statistical models to create new theories and products.
• Experience working with statistical and regression analysis, multi - objective optimization.
• Worked with python libraries like matPlotLib, wxPython and numPY
• Designed and implemented supervised and unsupervised machine learning .
• Identify problems and provide solutions to business problems using data processing, data visualization and graphical data analysis .
• Developed predictive models using Decision Tree, Random Forest and Naïve Bayes.
• Solid knowledge of mathematics and experience in applying it to technical and research fields.
• Identifying areas where optimization can be efficient.
• Worked with clients to identify analytical needs and documented them for further use.
• Developed predictive models using Python&R to predict customers churn and classification of customers.
• Used spring framework to design architecture of the application as per requirements.
• Query optimization, execution plan and Performance tuning of queries for better performance in SQL.
• Worked on Shiny and R application showcasing machine learning for improving the forecast of business.
• Used technologies like JQuery for java script manipulations and bootstrap for the front-end html layout.
• Worked on Designing and configuration of the database and back end applications and programs.
• Developed user interface using HTML/CSS, JavaScript and JQuery.
• Hands on experience with Dimensional tables and Operational Data Store.
• Excellent communication, analytical & troubleshooting skills.

TECHNICAL SKILLS:

Languages: R, C#, VB.NET, VC++, Java, PL/SQL, Matlab

Scripting: Python, Unix Shell Scripting, Perl

Development Tools: RStudio, Visual Studio.NET 2015, Eclipse, Quest - SQL Navigator, Tableau, QuickView

Data Science/Big data: Statistical Analysis, Machine Learning, Data Mining, Hadoop 2.x, HBase 1.2, HDFS, NoSql, HBase

Operating Systems: Windows 10.0, UNIX with Sun Solaris 8.0, HP-Unix

Databases: MS SQL Server 2005, Oracle 11g, Sybase

Web Technologies: Silverlight, AJAX, ASP.NET, Java Script, (IIS) 7.0, AWS (Amazon Web Services)

Others: .NET 4.5, WPF, WCF, XAML, LINQ, MS Team Foundation Server(TFS), SSRS, Infragistics/Telerik Toolkit

PROFESSIONAL EXPERIENCE:

Confidential, San Francisco, CA

R Programmer / Data Scientist

Responsibilities:

• Conducted research on development and designing of sample methodologies, and analyzed data for pricing of client’sproducts.
• Investigated market sizing, competitive analysis and positioning for product feasibility.
• Worked on Business forecasting, segmentation analysis and Data mining.
• Automated Diagnosis of Blood Loss during Emergencies.
• Developed Machine Learning algorithm to diagnose blood loss.
• Generated graphs and reports using ggplot package in RStudio for analytical models.
• Developed and implemented R and Shiny application which showcases machine learning for business forecasting.
• Developed predictive models using Decision Tree, Random Forest and Naïve Bayes.
• Performed time series analysis using Tableau.
• Collaborating with dev-ops teams for production deployment.
• Worked in Amazon Web Services cloud computing environment.
• Worked with Caffe Deep Learning Framework.
• Developed various workbooks in Tableau from multiple data sources.
• Created dashboards and visualizations using Tableau desktop.
• Created dashboards in QuickView to visualize data.
• Worked on R packages to interface with Caffe Deep Learning Framework.
• Performed analysis using JMP.
• Perform validation on machine learning output from R.
• Written connectors to extract data from databases.

Environment:: R, Python, R Studio, Shiny Excel 2013, Amazon Web Services, Machine Learning, Tableau, QuickView, JMP, Segmentation analysis

Data Science Analyst

Responsibilities:

• Grouping customers & predicting churn rate for a car ride-share application.
• Developed a movie recommender based on users' movie ratings using matrix techniques.
• Created a fraud prediction model for a ticketing site using a boosted tree classifier.
• Development application UsingDjango framework and Flask framework.
• Developed user interface using CSS, HTML, JavaScript and JQuery.
• Worked on a reduction of cost and optimization of CRM Applications.
• Cleaned and processed data using python libraries.
• Worked with python libraries like matPlotLib, wxPythonand numPY.
• Built database mapping classes using Cassandra and Django models.
• Used Pandas API for analyzing time series.
• Designed and developed RDBMS using MySQL.
• Used Panda API for east timestamp data manipulation and retrieval.
• Creating regression test framework for new code.
• Used technologies like JQuery for java script manipulations and bootstrap for the front-end html layout.
• Took care of debugging and troubleshooting the web applications.
• Developed, tested and debugged tools utilized by clients and end-users.
• Worked with internal teams within the project to convert end user feedbacks into improved solutions.
• Coded programs and evaluated existing data processes.
• Worked on Designing and configuration ofthe database and back end applications and programs.
• Researched to identify and explore new technological platforms.
• Resolved Several problems and documented troubleshooting documents.

Environment:: Python 2.7, scipy, Pandas, Bugzilla, Red hat Linux, Apache Spark, Cassandra, SVN, Linux, Eclipse, Shell Scripting, JQuery, MySQL, HTML5/CSS.

SQL developer

Responsibilities:

• Worked on requirements gathering, analysis, design, change management and deployment.
• Developed and Designed forms using Visual Basic with ODBC.
• Automated the process of rebuilding indexes at regular interval for better performances.
• Generated reports that can handle both dynamic grouping and sorting.
• Generated reports using Crystal Reports.
• Developed E-R diagrams (logical and physical) using Erwin mapping the data into the database .
• Worked in dimensional modeling to design the data warehouse.
• Query optimization, execution plan and Performance tuning of queries for better performance.
• Worked with clients regarding system requirements and ensuring the development of customized products to user satisfaction.
• Created Tables, Indexes, Table Spaces and integrity constraints.
• Worked in UNIX Environment.

Environment:: SQL Developer, SQL Navigator, Informatica Power Center 9.x., Oracle 11g/12c, SQL, PL/SQL, MySQL Workbench, Oracle Hints, UNIX

Python Developer

Responsibilities:

• Programmed utilities in Python that uses packages like scipy, numpy, pandas.
• Used spring framework to design architecture of the application as per requirements.
• Estimation and Requirement Analysis of project timelines.
• Developed batch processors based on python to produce and consume various feeds.
• Generated Pdf reports daily and Monthly using Aspose PDF Kit.
• Written python scripts to parse XML documents and load the relating data into a database.
• Developed front end page using HTML, CSS, JavaScript and JQuery.
• Generating property list each and every application using python.
• Collecting the several functions and usage models from colleagues.
• Developing and maintaining a tool that abstracts information for the customer.
• Developing XMLs for components which maintain data for many registers.
• Developed and designed SQL procedures and Linux shell scripts for data export/import and for converting data.
• Developed internal web apps using Python Flask framework with the help of HTML /CSS framework.
• Used Test Driven Development (TDD) for the project.
• Written SQL Queries, Store Procedures, Triggers and functions for MySQL Databases.
• Involved in Creation of database access layer using JDBC and PL/SQL stored procedures.
• Coordinate architects and senior technical staff to identify client's needs and document assumptions.
• Build-out new requirements and move code through user acceptance testing.

Environment:: Python, C++, HTML, CSS, TDD, SQL, MYSQL and Windows.

Data Analyst

Responsibilities:

• Developed business process models using MS Visio to create case diagrams and flow diagrams to show flow of steps that are required.
• Worked with other teams to analyze customers to analyze parameters of marketing.
• Used MS Excel, MS Access and SQL to write and run various queries.
• Used traceabilitymatrix to trace the requirements of the organization.
• Recommended structural changes and enhancements to systems and databases.

Environment: UNIX, SQL, Oracle 11g/12c, MS Office, MS Visio

Data Stage Developer

Responsibilities:

• Developed ETL processes for data conversions and construction of data warehouse using IBM InfoSphere DataStage.
• Used Star Schema and designed Mappings between sources to operational staging targets.
• Provided On-call Support for the project and gave a knowledge transfer for the clients.
• Used Rational Application Developer (RAD) for version control.
• Developed transformations using jobs like Filter, Join, Lookup, Merge, Hashed file, Aggregator, Transformer and Dataset.

Environment:: IBM Rational Clear Case & Clear Quest and IBM InfoShpere Metadata Workbench 8.7,IBM InfoSphere DataStage and Quality Stage 8.7/8.1/8.0.1/7.5.2, IBM InfoSphere CDC version 6.5.1, XML files.