PROFESSIONAL SUMMARY:

• Around 5+ years of Experience in Python and Analytics including Data Mining, Statistical Analysis with domain knowledge in Banking industries.
• Involved in Project life cycle, including Data Cleaning, Data extraction, Visualization, with large data sets of structured and unstructured data, created ER diagrams and schema.
• Good experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions, to various business problems and generating data visualizations using R , Python and T ableau .
• More than 4 years of Professional Web Apps development experience using Django and Flask
• Working Experience in AWS like Amazon EC2, Amazon S3, Amazon EMR and Amazon SQS.
• Installed and maintained web servers Tomcat and Apache HTTP (1.3, 2.2) Web servers in Red Hat Linux.
• Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0 Jupiter Notebook 4.X, R 3.0 (ggplot2, dplyr, Caret) and Excel
• Working Experience on Python 3.5/2.7such as NumPy, SQLAlchemy, Beautiful soup, pickle, Pyside, Pymongo, SciPy, PyTables.
• Created Python and Bash tools to increase efficiency of call center application system and operations, data conversion scripts, REST, JSON, and CRUD scripts for API Integration.
• Working on several python packages like NumPy, Beautiful Soup, SQLAlchemy, PyTables etc.
• Developed and tested many features for dashboard using Python, Bootstrap, CSS, and JavaScript.
• Developing scripts for build, deployment, maintain and related task using Jenkins, Python, Bash.
• Monitored the error logs and fixed the bugs using Splunk.
• Worked on developing internal testing tools which were written in Python.Good industry knowledge, analytical &problem - solving skills and ability to work well with in a team as well as an individual.

TECHNICAL SKILLS:

• Languages: R/R Studio, SAS Enterprise Guide, SAS, R, Python 2.x/3.x,SQL, PHP, Shell Scripting, HTML, JQuery
• NO SQL Databases: HBase, MongoDB,DJANGO
• BI Tools: Tableau,Tableau server, Tableau Reader, SAP Business Objects,SAP Business Intelligence, QlikView, or Azure Data Warehouse
• Algorithms: Logistic regression, random forest, XG Boost, KNN, SVM, neural network, linear regression, lasso regression, k - means.
• Reporting Tools: MS Office (Word/Excel/PowerPoint/ Visio/Outlook), Crystal Reports XI, SSRS, Cognos 7.0/6.0.

PROFESSIONAL EXPERIENCE:

Python Developer

Confidential, Charlotte, North Carolina

Responsibilities:

• Transformation and Loading from the homogeneous or heterogeneous data sources.
• Created tables on top of data on AWS S3 obtained from different data sources.
• Migrated the data from cluster into the AWS environment.
• Designed and managed API system deployment using fast http server and Amazon AWS architecture.
• Business logic implementation, data exchange, XML processing, XML Schema and graphics creation has been done using Python and Django.
• Implemented business logic in Python to prevent, detect and claim the duplicate member entries.
• Managing the multi-tier and multi-region architecture using AWS Cloud Formation.
• Developed scripts for build, deployment, maintenance and related tasks using Jenkins, Docker, Maven, Python and Bash.
• Involved in building database Model, APIs and Views utilizing Python, to build an interactive web based solution.
• Created a Django dashboard with custom look and feel for end user after a careful study of the Django admin site and dashboard.
• Developed views and templates with Python and Django's view controller and template language to create a user-friendly website interface.

PYTHON DEVELOPER

Confidential, Columbus, OH

Responsibilities:

• Managed, developed and designed a dashboard control panel for customers and administrators using DJANGO, Oracle DB, PostgreSQL and VMWARE API calls.
• Installation, configuration, integration, tuning, backup, crash recovery, upgrades, patching, monitoring system performance, system and network security and troubleshooting of Linux/Unix servers.
• Queried MYSQL database queries from Python using Python-MYSQL Connector and MYSQL DB package to retrieve information.
• Developed wrapper in Python 3.5 for instantiating multi-threaded application.
• Implemented a login module for user, registration of the products, placing the order and tracking the order.
• Developed views and templates with django view controller and template language to create a user-friendly website interface.
• Automated moving the tests from production to staging and staging to production by reading the keywords from NVbugs.
• Developed backend of the application using the flask framework
• Developed and tested many features for dashboard using Flask, CSS and JavaScript.
• Developed backend of the application using the flask framework
• Experience in using frameworks and tools like Django, Flask, Django REST, Hibernate ORM , Spring .
• Developed Restful microservices using Flask and Django and deployed on AWS servers using EBS and EC2.

Skills : DJANGO, HTML, PHP,JQuery, MYSQL, PYTHON, Database, Flask, AWS, MS SQL Server, Oracle, SQL, SQL Server

Confidential

Jr Python Developer

Responsibilities:

• Used Agile Methodology and SCRUM Process.
• Responsible for gathering requirements, system analysis, design, development, testing and deployment.
• Participated in the complete SDLC process.
• Developed Business logic using Python 2.7
• Used Django framework for database layer development.
• Developed user interface GUI using CSS, HTML, JavaScript and JQuery.
• Responsible for setting up Python REST API framework using DJANGO.
• Created database using MySQL, wrote several queries to extract data from database using ETL and ELT tool (SSIS).
• Wrote scripts in Python for automation of testing jobs.
• Deployment and Build of various environments including Linux and UNIX
• Installed and maintained web servers Tomcat and Apache HTTP (1.3, 2.2) Web servers in Red Hat Linux.
• Used web services for integration and testing.
• Jira is used as project management tool for issue tracking and bug tracking.
• Implemented monitoring and established best practices around using elastic search.
• Effectively communicated with the external vendors to resolve queries.
• Used GIT for the version control and deployed project into AWS.

Environment: Python 2.7, Django 1.4, JSON, XML, SOAPUI, HTML, API, Shell Scripting, SQL, MySQL, AWS, GIT, Linux.