SUMMARY

• Around 7+ years of experience as a Web/Application Developer and coding with analytical programming using Python, Django, Machine learning, React and Java.
• Good Experience with Django, a high - level Python Web framework. Experience object-oriented programming (OOP) concepts using Python, Django, and Linux.
• Experienced in developing web-based applications using Python, Django, C++, XML, CSS, HTML, JavaScript, Angular JS and jQuery.
• Experience of Data Science libraries in Python such as Pandas, NumPy, SciPy, Scikit - Learn, Matplotlib, Seaborn, NLTK.
• Working with development and QA teams to design Ingestion Pipelines, Integration APIs, and provide Elasticsearch tuning based on our application needs.
• ManagedDocker orchestration and Docker containerizationusingKubernetes.
• UsedKubernetesto orchestrate the deployment, scaling and management of Docker Containers.
• Experience in Machine Learning Regression Algorithms like Simple, Multiple, Polynomial, SVR (Support Vector Regression), Decision Tree Regression, Random Forest Regression.
• Experience in Machine Learning Classification Algorithms like Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree & Random Forest classification.
• Very good hands-on experience working with large datasets and Deep Learning algorithms usingPySpark and TensorFlow.
• An excellent understanding of both traditional statistical modeling andMachine Learning techniquesandalgorithms like Regression, Clustering, Ensemble methods (random forest, gradient boosting),Deep learning(neural networks).
• Experience object-oriented programming (OOP) concepts using Python, C++, and PHP.
• Experienced in WAMP (Windows, Apache, MYSQL, Python/PHP) and LAMP (Linux, Apache, MySQL, Python/PHP) Architecture.
• O Migrating the coding from hive to Oracle using Python SPARK SQL (PySpark), Data Frames and RDD. Experience data processing like collecting, aggregating, moving from various sources using Spark (PySpark) and Panda libraries. Experience in NoSQL column-oriented database and its integration with Hadoop Cluster.
• Experience in working with Python ORM Libraries including Django ORM, SQLAlchemy .
• Experienced in installing, configuring, modifying, testing, and deploying applications with Apache.
• Understanding of Python Best Practices (PEP-8).
• Well versed with design and development of presentation layer for web applications using technologies like HTML, CSS, and JavaScript.
• Experience with Tableau for Data Acquisition and data visualizations.
• Worked on SQL and PL/SQL stored procedures which are used to create access to data and deployed them to Oracle and SQL server databases.
• Developed Python based API with well-structured and guidelines using Django, SQL.
• Knowledge and experience in GitHub/Git version control tools.
• Familiar with JSON based REST Web services and Amazon Web Services (AWS).
• Experienced in developing Web Services with Python programming language.
• Good experience with Amazon Cloud EC2, Simple Storage Service S3 and Amazon SQS.
• Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on MySQL 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 continuous integration and automation using Jenkins.
• Experience with Unit Testing/ Test Driven Development (TDD), Load Testing.
• Worked on AJAX framework to transform Datasets and Data tables into HTTP-serializable JSON strings.
• Excellent communication, interpersonal and analytical skills, and a highly-motivated team player with the ability to work independently.
• Very good hands-on experience working with large datasets and Deep Learning algorithms usingapache spark and TensorFlow.

TECHNICAL SKILLS

Programming Language: Python, Perl, Java, Scala, C, C++.

Database: MySQL, Oracle, T-SQL, SQL.

Web Technologies: CSS, Java Script, jQuery, HTML, AngularJS, Bootstrap

Operating System: UNIX, Linux, HPUX, Windows, Red hat Linux 4.x/5.x/6.x, Ubuntu

Modeling tools: TOAD, Erwin, Rapid SQL.

Machine learning: Linear regression, Logistic Regression, Naive Bayes, SVM, Decision Trees, Random Forest, K-means, Boosting and Bagging algorithms.

Reporting Tools: SQR reports, AXS Point Reports

Web Servers: Apache Tomcat, WebSphere, WebLogic

Cloud Technologies: AWS, Azure

Data Visualization: Tableau, ggplot2, Matplotlib, Seaborn, Plotly, D3.js.

Frameworks: Django, Flask, Spark, NodeJS

Container Technologies: Docker

Deep learning framework: TensorFlow

PROFESSIONAL EXPERIENCE:

Confidential, Columbus, Ohio

Python developer

Responsibilities:

• Worked on Data Analysis, Risk Management, Fixed Income, Derivatives in Confidential to develop web application.
• Developed and tested many features for dashboard using Flask, CSS and JavaScript.
• Developed backend of the application using the flask framework
• Worked on writing unit-test modules with varioustest casesfor every main module.
• Worked on automating the data updates usingpython regular expressionsusing (pythonrelibrary)
• Worked on Jenkins build for the project. Involves configuring Git repository with Jenkins build, setting up post build process like code coverages, generating build failure templates.
• Worked on d3.js to build dynamic interactive visualizations in web browsers.
• Writtenshell scriptsfor daily, monthly and event-based trigger process.
• Worked on creating tables, views, indexes on database.
• Worked onMatplotlib, Pandas Data frame, urllib2for data analysis.
• Implemented Spark using PySpark libraries for faster testing and processing of data.
• Extensively worked on ETL transforming the data, creating workflows, Creating Views, Triggers.
• Test Driven Approachwith unit test code coverage at minimal of 80%, Load Testing.
• Peer to Peer review processon the developed code.
• Worked on fixing theBuild issuesduring the deployment procedures to all lower lanes and higher environments.
• Implemented PySpark using Python and utilizing data frames and temporary table SQL for faster processing of data.
• Experience working on yaml serialization.
• Worked on application development using Go.
• Worked on developing Bar-plots, Google charts and Boxplots.
• Performed Industry best standards by doingSmoke testson the code deployed on higher environments.
• Experience working on Jenkins.
• Implement IOT streaming with Databricks Delta tables and Delta Lake to enable ACID transaction logging
• Exposed transformed datain Azure Spark Databricks platformto parquet formats for efficient data storage
• Responsible for Design and maintenance of databases using Python. Developed Python based APIs (RESTful Web services) by using Flask, SQL Alchemy and PostgreSQL.
• Wrote Python scripts to parse and load the data into the database, from the XML and JSON files, and wrote programs for performance calculations by using NumPy and SQL Alchemy
• Worked onBack-end developmentwith Django framework, Created Models, Migrations.
• Created MySQL connector to establish database connection and MySQL cursor () to access and fetch the data, load the data.
• Written various queries using Aggregation frame work onMongoDBNoSQL Database
• Worked on MySQL client as database connector for MySQL.

Environment: Python 3.7, Azure Databricks, PySpark, Spark, Scala, Big Data, Azure, Docker, CosmosDB, Linux, Shell Scripting, Pandas API, Selenium, Unit and Integration Testing, Data Analysis, HTML, CSS, JavaScript, JSON.

Confidential

Python developer

Responsibilities:

• Generated Python Django Forms to record data of online users.
• Created PHP/MySQL back-end for data entry from Flash.
• Developed monitoring and notification tools using Python.
• Data which is stored in sqlite3 datafile (DB.) were accessed using the python and extracted themetadata, tables, and data from tables and converted the tables torespective CSV tables.
• Used Text Mining andNLPtechniques find the sentiment about the organization.
• Deployed a spam detection model and performed sentiment analysis of customer product reviews usingNLPtechniques.
• Developed and implemented predictive models of user behavior data on websites,URLcategorical, social network analysis, social mining and search content based on large-scaleMachine Learning.
• Developed predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, and deep learning.
• Extensively usedPandas,NumPy,Seaborn,Matplotlib,Scikit-learn,SciPyandNLTKinRfor developing various machine learning algorithms.
• Worked on Django API's for accessing the database.
• Developed Views and Templates with Python and using Django's view controller and template language, Website interface is created.
• Worked with Amazon Web Services (AWS) using EC2 for hosting and Elastic map reduce (EMR) for data processing with S3 as storage mechanism.
• DevOps role converting existing AWS infrastructure to Server-less architecture (AWS Lambda, Kinesis) deployed.
• Developed spark applications in python(PySpark) on distributed environment to load huge number of CSV files with different schema in to Hive ORC tables.
• Worked on reading and writing multiple data formats like JSON,ORC,Parquet on HDFS using PySpark.
• Using Curator API on Elasticsearch to data back up and restoring.
• Experimented withDocker, by using Docker-compose
• Actively worked onDockerand deploying and maintainingMicro servicesin Dev & QA environment.
• Implemented build stage- to build the micro service and push the docker container image to theprivate docker registry.
• UtilizedKubernetesandDockerfor the runtime environment of theCI/CDsystem to build, test deploy.
• Developed microservice on boarding tools leveragingPythonandJenkinsallowing for easy creation and maintenance of build jobs andKubernetesdeploy and services.
• Added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud.
• Performeddata exploratory, data visualizations, and feature selections using Python and Apache Spark.
• ScaledScikit-learn machine learning algorithms using Apache spark.
• Using techniques such as Fast FourierTransformations, Convolution Neural Networks, and Deep learning.
• Used multiple Machine learningalgorithms, including random forest and boosted tree,SVM,SGD, neural network, and deep learning usingTensorFlow.
• Involved in creating charts and graphs of the data from different data sources by using matplotlib and SciPy libraries in Python.
• Developed and deployed large scale Machine learning models to create personalized recommendations based on user data.
• Used Pandas, NumPy, Scikit-learn in Python for developing various machine learning algorithms and utilized machine learning algorithms such as linear regression, naive Bayes, Random Forests, K-means for building predictive analytics models.
• Used SQL toolkits like SQL Alchemy and Geo Alchemy
• Clean data and processed third party spending data into maneuverable deliverables within specific format with Excel macros and python libraries such as NumPy, SQLAlchemy and matplotlib
• Built a Full-Service Catalog System which has a full workflow using Elasticsearch, Logstash, Kibana, Kinesis, CloudWatch.
• AddedExcel-Builderto downloadthe Tabular datain Excel format usingReact.
• Performed unit testing by using Pytest.
• Employed ensemble learning techniques like Random forests and Boosting Model to improve the model by 15 percentage and Using k-fold cross validation to test and verify the model accuracy.
• Used various metrics (RMSE, MAE, F-Score, ROC, and AUC) to evaluate the performance of each model.

Environment: Python 2.7, Django, Django-CMS, AWS, Docker, SSO, Django-CMS plugins, MySQL, Linux, Shell Scripting, Pandas API, Selenium, Google Cloud Platform (GCP) and Amazon Cloud, HTML, CSS, JavaScript, jQuery, AngularJS, Bootstrap, JSON.

Confidential, Cleveland, OH

Python Developer

Responsibilities:

• Part of team implementing REST API’s in Python using micro-framework like Flask with SQLAlchemy in the backend for management of data center resources on which OpenStack would be deployed.
• Used python libraries like Beautiful Soap, NumPy and SQLAlchemy.
• Utilized standard Python modules such as csv, robot parser, itertools and pickle for development.
• Worked on Python OpenStack APIs and used NumPy for Numerical analysis.
• Used Ajax and jQuery for transmitting JSON data objects between frontend and controllers.
• Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery.
• With the concept of ReactJs Worked on usage metrics and also end to end events tracing for analysis purpose.
• Implemented various screens for the front end usingReact.jsand used various predefinedcomponentsfromNPM (Node Package Manager).
• Implemented AJAX for dynamic functionality of a webpages for front end applications.
• Worked on front end frameworks like CSS Bootstrap for responsive webpages.
• Developed and tested many features for dashboard, created using Bootstrap, CSS, and JavaScript.
• Developed Wrapper in Python for instantiating multi-threaded application.
• Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.
• Developed user interfaces using JSPs, HTML, XHTML, DHTML, CSS, Java Script, JSP Custom Tags.
• Developed Asynchronous means of retrieval of data from the Server and Database using AJAX features as well JavaScript.
• Using Curator API on Elasticsearch to data back up and restoring.
• Implemented the Application using Spring MVC Framework.
• Used Spring Framework at Business Tier and also Spring\'s Bean Factory for initializing services.
• Extensively used Core Java such as Multi-Threading, Exceptions, and Collections.
• Experience in Database optimization and developing stored procedures such as Triggers, Cursors, Joins, Views and SQL for various databases like MySQL, Oracle.
• Managed datasets using Panda data frames and MySQL, queried MYSQL database queries from python using Python-MySQL connector and MYSQL dB package to retrieve information.
• Implemented various statistical techniques to manipulate the data like missing data imputation, Principal Component Analysis for dimension-reduction.
• Extensively usedPandas,NumPy,Seaborn,Matplotlib,Scikit-learn,SciPyandNLTK inPythonfor developing various machine learning algorithms.
• Employed various metrics such as Cross-Validation, Confusion Matrix, ROC and AUC to evaluate the performance of each model.
• Added several options to the application to choose algorithm for data and address generation.
• Developed and designed automation framework using Python and Shell scripting.
• Developed the project in Linux environment.
• Used Agile Methodology and SCRUM Process.
• Maintained the versions using GIT and sending the release notes for each release.

Environment: Python 2.7 & 3.5, Django 1.6.1, Selenium, HTML-5, CSS-3, XML, MySQL, JIRA, JavaScript, Angular JS, Backbone JS, jQuery, RDBMS, CSS Bootstrap, Elasticsearch, Mongo DB-3.2, MS SQL Server-2014, T- SQL, Eclipse, Git, GitHub, AWS, Amazon Lambda, Google Cloud Platform (GCP), Linux, Shell Scripting

Confidential

Software Engineer

Responsibilities:

• Developed strategic partnerships with the business unit to develop a solid knowledge base of the business line, including the business plan, products and processes.
• Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery.
• Created APIs and developed entire frontend and backend modules using Python on Django Web Framework.
• Used python scripts to update content in the database and manipulate files.
• Involved in design, implementation and modifying the python code and MySQL database schema on the back end.
• Installed and Configured Linux with Apache, Oracle and PHP.
• Developed widgets for GUI using modules of Python.
• Used PythonOS module on UNIX environment, made job cloning and forking.
• Parsers written in Python for extracting useful data from the design data base.
• Managing of internet security and acceleration throughout the network using Microsoft's ISA server.
• Used third party jQuery-based plug-ins like jQuery UI, Data tables etc. Heavily used JavaScript for Form Submit and other UI elements during development.
• Used JMS API for asynchronous communication by putting the messages in the Message queue.
• Fetched twitter feeds for certain important keyword using python twitter library.
• Created the domains, application servers and load balancers using WebLogic 9.0.
• Designed extensive additions to existing Python Web Application utilizing Service Oriented Architecture (SOA) techniques.
• Responsible for debugging and troubleshooting the web application.
• Implementation under Red Hat, Ubuntu, and Windows 7, both locally and on Cisco Cloud.
• Profiled Python code for optimization and memory management.
• Participated in day-to-day meeting, status meeting, strong reporting and TEMPeffective communication with project manager and developers.

Environment: Python, Django, HTML, CSS, JavaScript, jQuery, Ubuntu, PHP, Apache, Oracle, MySQL, Linux, UNIX, Cisco Cloud.