SUMMARY

• 7+ Years of experience in Analysis, Design, Development, Management and Implementation of various stand - alone and client-server enterprise applications using Python and R language.
• Skilled in Object-Oriented Design and Object-Oriented Programming using Python and C++.
• Experienced with various development methodologies like Waterfall, Scrum and Agile.
• Have very good experience in developing Test Frameworks, and experience on working with Django framework.
• Experienced in development of Web based applications usingPython.
• Experienced in SQL databases MS SQL, MySQL, Oracle.
• Thorough knowledge and experience in understanding complex data and exposure in data profiling, cleansing and data wrangling.
• Good knowledge and demonstrated experience in Machine learning algorithms like kNN analysis, Regression Analysis, Logistic Regression, Decision Trees, Cluster Analysis, Support Vector Machines, Neural Networks, Sentiment Analysis.
• Good knowledge on Deep Learning concepts.
• Demonstrated experience in Text Analytics And NLP
• Knowledge on protocols and API’s(JSON).
• Familiar with machine learning and statistical modeling tools such as R.
• Experience with Git.
• Excellent relationship skill, verbal and written skills.
• Willing to learn new programming languages, tools or frameworks.
• Created customized reports and processes in SAS and Tableau Desktop.
• Experience in Base and Advanced SAS 9.4, SAS/MACROS, SAS/ STAT,
• SAS/SQL, SAS / GRAPH, SAS/ETL, SAS/ODS.
• Statistical packages - R, Python, SAS and Minitab
• Packages - Scikit -Learn, Numpy, Scipy, Pandas, NLTK, DLATK, Matplotlib.
• Database - SQL(ORACLE), MYSQL
• Data Visualization Tools - R, SAS, Tableau, Power BI
• MS OFFICE - Excel, Power Point, Word

TECHNICAL SKILLS

Operating systems: UNIX, Linux, Windows

Programming Languages: Python 2.7, Python 3, C, C++, PL/SQL, JavaScript

Markup Technologies: HTML, CSS, JQuery, SAX, Dom, XML

Databases: MySQL, Oracle, SQL ServerSDLC Waterfall, RAD, Agile, Scrum

Frameworks: Django, Flask

PROFESSIONAL EXPERIENCE

Python Developer

Confidential

Responsibilities:

• Personalization, Target Marketing, Consumer profiling and segmentation
• Worked on model building using Machine Learning algorithms like Linear Regression, Logistic Regression, SVM, Naïve Bayes.
• Worked on POC project for NLP (Natural Language Processing) with review data.
• Text analytics on review data using machine learning technique in python using NLTK
• Profiling based on content access reports, event trigger reports and navigation reports. Profiles are then used for target marketing and segmentation.
• Custom website strategy for segments.
• Designing automated dashboards and data visualization to extract relevant ad targeting market insights.
• Custom dashboards product category wise. Used R to identify product performance via classification, tree map and regression models along with visualizing data for interactive understanding and decision making.
• Accomplished multiple tasks from collecting data to organizing data and interpreting statistical information.
• Developed visualizations using sets, parameters, calculated fields, Dynamic sorting, filtering, Parameter driven analysis, gathered data from different data marts.
• Reporting designs based on business specific problems, Reporting Implementation on Tableau.
• Advanced charts, drill downs and intractability are incorporated in reporting for different stakeholders and integrating the publishing of reports to the clients infrastructure.

Confidential, NJ

Python Developer

Responsibilities:

• Conducted qualitative and quantitative research to gather data from data mart.
• Responsible for data identification, collection, exploration, and cleaning for modeling, participate in model development.
• Visualize, interpret, report findings, and develop strategic uses of data.
• Understand transaction data and develop analytics insights using statistical modeling using Machine Learning.
• Involved in gathering requirements while uncovering and defining multiple dimensions. Extracted data from one or more source files and databases.
• Cleaned, filtered, and transformed data to specified format.
• Designed various reports using various reporting tools.
• Worked on data exchange from website using XML and Web Services.
• Worked on writing and as well as reading data from CSV and Excel file formats.
• Cleaned data using R, then visualize the data, and derive statistical modelling plots.
• Interacted with other departments to understand and identify data needs and requirements and work with other members of the IT organization to deliver data visualizations and reporting solutions to address those needs.
• Responsible for providing reports, analysis and insightful recommendations on key performance metrics.
• Used R to identify product performance via classification, tree map and regression models along with visualizing data for interactive understanding and decision making.
• Accomplished multiple tasks from collecting data to organizing data and interpreting statistical information.
• Conducted exploratory and descriptive data analysis of large datasets.
• Provided technical assistance for development and execution of test plans and cases as per client requirements.

Confidential, NJ

Python Developer

Responsibilities:

• Developed tools using Python to automate routine jobs and increase productivity.
• Designed and developed MySQL Stored Procedures and Shell Scripts for Data Import/Export and Conversions.
• Build all database mapping classes using Django models.
• Developed applications especially in Linux environment and familiar with all of its commands.
• Worked on data exchange from website using XML and Web Services.
• Worked on writing and as well as reading data from CSV and Excel file formats.
• Created a Web Service using Flask Framework.
• Used Redis as messaging broker to execute asynchronous tasks.
• Worked on web based next generation CRM System development, which is in MVC architecture and cloud native principles.
• Worked with Level two support team, DBAs and infrastructure team to improve the efficiency and capacity of our system.
• Utilized PyUnit, the Python unit test framework, for all Python applications.
• Developed and Maintained Cloud formation scripts, also automated the provision of AWS resources, which include EC2, S3, RDS.
• Worked on infrastructure with Docker containerization.
• Used Docker to implement a high-level API to provide lightweight containers that run processes isolation and worked on creation of customized Docker container images, tagged and pushed the images to the Docker repository.
• Implemented a continuous Delivery Pipeline with Jenkins and GitHub to build a new Docker container automatically.
• Work with Docker for convenient environment setup the test environments.
• Used Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts and managed containerized applications using its nodes, config maps, selectors and services

Environment: Python, Django, Flask, PHP, C++, HTML, Redis, JavaScript, XML, GitHub, Flash, MYSQL

Data Analyst

Confidential

Responsibilities:

• Extensively worked on data analysis and cleansing.
• Developed and maintained SAS programs from different platforms and formats to assist internal and external clients using SAS, SQL, and Excel.Involved in SAS programming for Clinical trials in Cardiovascular and infectious deceases therapeutic area and e-submissions to FDA.
• Reviewed protocol and Case Report Forms to identify irregular data entry errors of clinical trial data and acquired knowledge. Created safety and efficacy customized reports for FDA regulatory submissions.
• Programmed analysis datasets in ADAM model, Created Tables, Listings and Figures by using ADAM datasets for Patient Demography and Characteristics, Adverse Events, Intent to Treat, Laboratory etc. for safety data and study specific efficacy data using Proc Report, Proc Tabulate and Data null .
• Involved in Mapping and Integrating study data to a CDISC-compliant Proprietary analysis data system.
• Involved in writing SAS program code using SAS/BASE, SAS/MACROS, SAS/STAT to produce analysis datasets.
• Developed specifications for database in CDISC format and involved in programming datasets in CDISC format (STDM model 3.1) and managed CDISC database for several studies.
• Participated in preparing reports for regulatory submissions as well as ISS and ISE for FDA submissions using SAS.
• Validated all the tables and listings using validation rules defined in programming SOP’s.
• Participated in weekly meetings with team lead to discuss about work progress and queries regarding project.
• Coordinated with other departments to extract data from complex sources for reports and analysis.
• Built standard reports for company presentation, provided ad-hoc query and analysis support, and created requirements documents by interacting with customers.
• Applied Supervised Learning algorithms for classification of text and applied some of the basic NLP techniques to increase the accuracy of sentiment scoring.
• Segmentation and feature extraction to illustrate the review behavior change over time.
• Implemented Naïve Bayes and SVM models and NLP techniques for sentiment prediction.
• Implemented kNN model to classify the targeted class for delayed Flights and to implement Regression tree method to make prediction on the arrival time.
• checked whether the models are proved to be a good fit in predicting the delayed time.
• Comparing both kNN and Regression tree models to determine the best fit.
• Perform the tree based analysis of the credit data to identify factors that are predictive of higher risk of default.
• We used the C5.0 algorithm to train the model and apply boosting to improve the performance of the model.
• To create a vector of predicted class which can be compared to actual class using cross table function using gmodels package.