PROFESSIONAL SUMMARY:

• With 5 years of experience as a Web Application Developer and coding analytical programming using Python, Django, Flask.
• Experienced with full Software Development Life Cycle (SDLC), architecting scalable platforms, object oriented programming, database design and agile methodologies.
• Experience in developing web - based applications using Python 2.7/3.4, Django 1.4/1.3, Flask, Webapp2, Angular.js, VB, HTML, DHTML, JavaScript and JQuery.
• Experience in using new tools and technical developments such Libraries-Beautiful Soup, Numpy, Scipy, Matplotlib, Pickle, PySide, Pandas Dataframe, urllib2 to drive improvements throughout entire software development lifecycle.
• Experienced in working with various Python Integrated Development Environments like Pycharm, PySpark, PyScripter, Spyder and Sublime Text.
• Proficient in Front end development experience using HTML, XML, CSS, JQuery, JSON, JavaScript, CSS and Bootstrap.
• Familiar with JSON based REST Web services.
• Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors and Functions on MySQL and PostgreSQL database.
• Experience using web services like Amazon Web Services (AWS) EC2 and AWS S3. Implemented data transfer from SQL server to Redshift using AWS data pipeline, AWS S3 bucket, AWS EC2 worker group and AWS SNS.
• Experience configuring and developing with different Database servers including MySQL, MSSQL, Oracle and Mongo Db.
• Experience in using Scikit-Learn and Statsmodels in Python for Machine Learning and Data Mining.
• Experience in using UNIX shell Scripts for automating batch programs.
• Experience includes Database Design, Analysis and Development with MySQL, Oracle, SQL Server.
• Proficient in Software Design and Development with a solid background in Developing and Experience developing applications in Linux Environment.
• Experienced in Agile Methodologies and SCRUM Process.
• Strong Knowledge of web application security and access control.
• Highly motivated, dedicated, quick learner and have proven ability to build and manage a team and work individually.
• Excellent written and oral communication skills with results-oriented attitude.
• Excellent debugging, problem solving, optimization and testing skills.

TECHNICAL SKILLS:

Programming Languages: Python, Shell Scripting, Node Js, R

Web Technologies: HTML, CSS, XML, DOM, AJAX, jQuery, JSON and CSS Bootstrap.

Python Libraries: Python, Django, Flask, BeautifulSoup,Pandas, Numpy, matPlotLib, Pickle, PySide, PyTables, Sklearn, Keras, XGBoost, Tensorflow, Gensim

Webserver: WebLogic, WebSphere, JBoss

IDE: Eclipse, Webstorm, Sublime Text, Brackets, Pycharm, Pystudio, Pyscripter.

Deployment /Analytic Tools: Heroku, Amazon EC2, Jenkins, Fabric, Google Analytics, Fiddler

Cloud Computing: AWS EC2, S3, RDS(MY SQL), SQS

Databases: Oracle, MySQL, SQLite, Redis, Google BigQuery, Amazon Redshift and Mongo DB

Operating Systems: Windows, Red Hat Linux, Mac OS

Other Tools: Bugzilla, Jasmine, Pyunit, JIRA, Junit, Git, SVN, CVS

PROFESSIONAL EXPERIENCE:

Confidential, Houston, TX

Python Developer

Responsibilities:

• Designed database Model, Views and API's using Python for interactive web based solutions.
• Used data into JSON files using Python to test Django websites.
• Used Python scripts to update the content in database and manipulate files.
• Used Django Framework in developing web applications to implement the model view control architecture along with Django's ORM model.
• Developed web based application using Django framework with python concepts.
• Generated Python Django forms to maintain the record of online users.
• Used Django API's to access the database.
• Worked on server side applications with Django using Python programming and used python libraries like Beautiful Soup, Matplotlib, Scipy, NumPy and Built efficient Node.js backend for client web application.
• Developed tools to automate some base tasks using Python, Shell scripting and XML.
• Built Random Forest based models using PySpark on Databricks for predicting profile field prediction.
• Implemented text classifier using Keras CNN for faster case resolution of user complaints.
• Developed anomaly detection cronjob on Google Analytics data using Python, Pandas and Jinja2.
• Build a Tensorflow Object Detection transfer learning model for custom dataset of client.
• Built data pipelines and data transformation jobs using Boto, Pandas, Numpy for Google Analytics Data and Amazon Redshift Data.
• Used PyQt to implement GUI for the user to create, modify and view reports based on client data.
• Developed efficient Angular.js for client web based application.
• Working in team of Architects and Developers to build and deploy Python Flask Peewee Linux AWS.
• Responsible for designing, developing, testing, deploying and maintaining the web application.
• Involved in working with Python open stock API's.
• Design, develop, and deploy engaging web applications using Python.
• Develop applications that use MongoDB database, and pymongo.
• Querying data from MongoDB and use them as input for the machine learning models.
• Wrote Python code embedded with JSON and XML to produce HTTP GET request, parsing HTML data from websites.
• Wrote Python code to simplify lists in Python with list comprehension and Python OOP. Worked with POSTMAN for API testing. Developed REST APIs, and created User Model for application.
• Used Amazon Web Services (AWS) for improved efficiency of storage and fast access.
• Added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud. Involved in front end and utilized Bootstrap and Angular.js for page design.
• Created Data tables utilizing PyQt to display customer and policy information and add, delete, update customer records.
• Experienced in using advanced PostgreSQL/MYSQL features like table partitioning and diverse types of oracle indexing. Backup and Restore experience with PostgreSQL/ MYSQL database backups and point in time recovery.
• Developed RESTful web services for Catalog and Pricing with Django MVT, MySQL, and MongoDB.
• Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery and Angular JS.

Environment: Python, Django, Flask, SciPy, Pandas, Numpy, PostgreSQL, XML, JSON, JavaScript, AngularJS, Backbone JS, Restful Web services, Git, MySQL, Mongo DB, Linux.

Confidential, Los Gatos, CA

Python Developer

Responsibilities:

• Designed database Model, APIs and Views utilizing Python to build an interactive web-based application.
• Involved in building database Model, APIs and Views utilizing Python, to build an interactive web-based solution.
• Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python and Bash.
• Designed and managed API system deployment using fast http server and Amazon AWS architecture.
• Developed frontend and backend modules using Python on Django including Tasty Pie Web Framework using Git.
• Collect data that introspects the performance of query and update operations on a MongoDB instance.
• Developed Python scripts to monitor health of Mongo databases and perform ad-hoc backups using Mongo dump and Mongo restore.
• Used regular expression for faster search results in combination with Angular2 built-in and custom pipes.
• Develop consumer-based features and applications using Python, Django, HTML, Behaviour Driven Development (BDD) and pair-based programming.
• Used Test driven approach for developing the application and Implemented the unit tests.
• Developed backend web services using Node.js and stored dependencies using Node Package Manager (NPM).
• Used Amazon Elastic Beanstalk with Amazon EC2 to deploy project into AWS and good experience with AWS storage services (S3).
• Managed, developed, and designed a dashboard control panel for customers and Administrators using Django, Oracle DB, PostgreSQL, and VMWare API calls.
• Involved in development of Python based Web Services using REST for sending and getting data from the external interface in the JSON format and perform analysis using Django, PostgreSQL.
• Designed automation scripts to back up the old records by using Mongo DB export command and transferred the files into backup machine with the help of ftplib.
• Followed AGILE development methodology to develop the application.
• Used Test driven approach (TDD) for developing services required for the application.
• Managed datasets using Panda data frames and MYSQL. Queried the database queries using Python.
• Recorded the online users' data using Python Django forms and implemented test case using Pytest.
• Developed the application using the Test-Driven methodology and designed the unit tests using Python Unit test framework.

Environment: Python, PyQuery, Shell Scripting, JSON, Rest, Django, Celery, Flash, SQL, UNIX, Windows, PostgreSQL, and python libraries such as Numpy, SQL Alchemy, AWS