SUMMARY:

• An analytical and detail oriented Data science professional with proven records of success inthe collection and manipulation of large datasets.
• Demonstrated expertise in decisive leadership and in delivering research based, data driven solutions dat move organizations vision forward.
• Highly competent at researching, visualizing and analyzing raw data toidentify recommendations for meeting organizational challenges.
• Proven excellence in personal management and program development.
• Unparalleled capacity to link quantitative and qualitative statistics to improvements in operatingstandards.
• Around 7 years of experience as a Web/Application Developer and coding with analytical programming using Python, Pandas, Django
• Proficient in Statistical Modeling & Machine Learning techniques in Forecasting/ Predictive Analytics, Segmentation methodologies, Regression based models, Hypothesis testing, PCA, Ensembles.
• Implement and practice Machine learning techniques on structured and unstructureddata with equalproficiency.
• Experience with Data Analytics, Data Reporting, Ad - hoc Reporting, Scales, Pivot Tables and OLAP reporting. Expert in data flow between primary DB and various reporting tools, Expert in finding Trends and Patterns within Datasets and providing recommendations accordingly.
• Ability to use dimensionality reduction techniques and regularization techniques.
• Expertise in creating Dashboards, Scales, Pivot Tables and OLAP reporting
• Experienced with full software development life-cycle, architecting scalable platforms, object oriented programming, database design and agile methodologies
• Experienced in MVW frameworks like Django, Java Script
• Experienced in Python's modules numpy, matplotlib for generating complex graphical data, creation of histograms etc.
• Expert noledge of and experience in Object Oriented Design and Programming concepts.
• Experienced in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, MySQL, and Python/PHP) Architecture.
• Experienced in developing web-based applications using Python, Django, PHP, XML, CSS, HTML, Java Script, Angular Java Script and JQuery.
• Well versed with design and development of presentation layer for web applications using technologies like HTML, CSS, and JavaScript
• Familiar with JSON based REST Web services and Amazon Web services and noledge on VPC (Virtual Private Cloud), EC2, load-balancing with ELB, messaging with SQS (and scalable non-AWS alternatives).
• Used Django Database API's to access database objects.
• Experienced in developing Web Services with Python programming language.
• Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on SQL and PostgreSQL database.
• Worked in agile and waterfall methodologies with high quality deliverables delivered on-time.
• Maintained detailed documentation and architectural solutions in IT infrastructure and sales systems.
• Experience with Unit testing/ Test driven Development (TDD), Load Testing
• Developed teh required XML Schema documents and implemented teh framework for parsing XML documents.
• Involved in Unit testing and Integration testing.

TECHNICAL SKILLS:

Programming Expertise: C, Python, Django, Pandas, Sci-kit Learn, NumPy, SQL, R, Java, Big data eco-systems (Hive 2.8, Pig), Microsoft Azure ML Studio

Visualization Tools: Microsoft Power BI,Matplotlib, Tableau 9, MS - Office (Excel, Power point)

Subject Expertise: StatisticalModeling,DataAnalytics,MachineLearning,Datawranglingand munging, Power BI, Big Data Hadoop

Techniques: Linear Regression, Logistic Regression, Decision tress, Random Forest, GBM, clustering (K-means, Hierarchical), K-Nearest Neighbors, SVM, Neural Networks

Secondary Skills: Linux administration, Oracle, Teradata-SQL, Shell & Batch Scripting.

PROFESSIONAL EXPERIENCE

Confidential, Piscataway, New Jersey

Data Scientist

Responsibilities:

• Responsible for researching and developing algorithms dat can efficiently learn diverse and powerful representations for many kinds of data.
• End to end responsibility in designing and architecture of teh models, setting up teh cloud platforms for Action on Microsoft azure
• Data collected from telemetric OBD device of teh car to IOT hub of Microsoft azure, data would be in a raw format and we transform and aggregate teh data using teh process of datasets, pipelines and activities and visualize using Power BI and store teh output in database.
• Built models using Statistical techniques and Machine Learning classification models like Logistic Regression and used K-means Clustering to find teh patterns of teh data.
• Tried using Neural Networks model as well to predict behavior of driver.
• Worked on HDInsight Hive activity in a Data Factorypipeline
• Smart app cloud for display using, Automated teh process of creating daily reports including Driver’s behavior, Fuel Consumption, Engine RPM etc.,
• Dashboards are created using Power BI
• Customized teh analytics and machine learning modules in teh sample to derive entirely different insights from teh same IoT data, around which we can build unique user experiences.
• Performed deep analysis on indoor harvested data and came up with insights which halped grower to predict profits and make necessary changes to avoid losses
• Created Power BI dashboards based on various life cycles and factors TEMPeffecting teh growth

Environment: Statisticaltools: Azure ML Studio,Python, Pandas, Sci-kit, HIVE,R, SQL

Confidential, Texas

Data Scientist

Responsibilities:

• Written code/ algorithms Python using packages like Pandas andScikit.
• Created a pickle file out of teh model fordeployment.
• Engage with management to define teh scope and draftingrequirements
• Understanding teh parameters dat influence theobjective
• Examine teh feasibility on data requirements along with data warehousingteam
• Understand and defining process flow diagrams, taking signoff from teh respective technical manager related to data marts & data fields from teh marts- customer’s demographics, products, and accounts transactionhistory.
• Writing programming logics for developing analysis datasets by integrating with variousdata marts in teh sandboxenvironment.
• Worked on a data consisting of hundred variables describing attributes of life insurance applicants.

Environment: Statisticaltools:Python, Pandas, Sci-kit, SQL, MicrosoftExcel,Django.Datasources:External Data files in .txt, .csv, .xlsx,PostgresSQL.Reportingplatforms:MS Excel, HTML,CSS

Confidential

Data Analyst

Responsibilities:

• Fraud analytics, gathering insights for business use cases and data visualization.
• Applied Supervised and Unsupervised learning techniques
• Identify teh predictors
• Ran SQL queries in Oracle database to analyze and manipulate data.
• Wrote SAS programs to performed ad-hoc analysis and data manipulation
• Created various SAS Reports, Tables, Graphs and Summary analysis on PMS systems being used in these properties
• Checked for invalid/out of range data
• Transferred data from Oracle database as well as MS Excel into SAS for analysis and used filters based on teh analysis
• Used SAS Import/Export Wizard as well as SAS Programming techniques to extract data from Excel
• Compared data across various data sets and analyzed dimensions of data
• Used SAS Base programming as well as SAS Enterprise Guide 4.0 to produce various reports, charts and graphs
• Worked in large scale database environment like Hadoop and MapReduce, with working mechanism of Hadoop clusters,nodes and Hadoop Distributed File System (HDFS)
• Involved in creating Hive tables, loading with data and writing Hive queries which will run internally in map reduce way
• Create Dashboards and review teh change
• Model diagnostics and fitting

Environment: Statisticaltools:Python, Pandas, Sci-kit, SQL, MicrosoftExcel

Confidential

Responsibilities:

• Design, develop, test, deploy and maintain teh website.
• Designed and developed teh UI of teh website using HTML, AJAX, CSS and JavaScript
• Designed and developed data management system using MySQL.
• Rewrite existing Python/Django modules to deliver certain format of data.
• Fundamental mastery of teh Amazon Web Services cloud computing platform, and its many dimensions of scalability - including but not limited to: VPC (Virtual Private Cloud), EC2, load-balancing with ELB, messaging with SQS (and scalable non-AWS alternatives)
• Used Django Database API's to access database objects.
• Wrote python scripts to parse XML documents and load teh data in database.
• Use GIT to track software development
• Involved in development of Web Services using SOAP for sending and getting data from teh external interface in teh XML format.
• Responsible for debugging teh project monitored on JIRA (Agile)
• Used JQuery for all client side Java script manipulation.
• Created unit test/regression test framework for working/new code
• Using Subversion control tool to coordinate team-development.
• Built development environment with JIRA.
• Implemented multiple high performance MangoDb replica sets on EC2 with robust reliability
• Developed entire frontend and backend modules using Python on Django Web Framework.
• Responsible for debugging and troubleshooting teh web application.
• Involved in entire lifecycle of teh project including Design, Development, and Deployment, Testing and implementation and support.

Environment: Python 2.7, Python 2.7, Django, HTML5/CSS, MS SQL Server 2013, MySQL, Java script, Eclipse, Linux, Shell Scripting, JQuery, GitHub, Angular.JS, Jira

Confidential

Program Analyst

Responsibilities:

• Work with team of developers on python applications for RISK management.
• Design, develop, test, deploy and maintain teh website.
• Designed and developed data management system using MySQL.
• Rewrite existing Python modules to deliver certain format of data.
• Wrote python scripts to parse XML documents and load teh data in database.
• Handled all teh client side validation using JavaScript.
• Expertise in writing Constraints, Indexes, Views, Stored Procedures, Cursors, Triggers and User Defined function.
• I have also used Selenium Library to write fully functioning test automation process dat allowed teh simulation of submitting different we request from multiple browser to web application.
• Used JQuery for all client side Angular Java script manipulation.
• Created unit test/regression test framework for working/new code
• Using Subversion control tool to coordinate team-development.