Bharat Kundapur

Associate Projects

Cognizant Technology Solutions•  November 2019 - Present

 Experience in Data Analytics and Data Mining using Python programming language.  Experience in web scraping or web data mining using BeatifulSoup and Selenium python modules.  Experience in creating REST API's to serve data to cross-platform applications using python.  Experience in applying Natural Language Processing and Machine Learning techniques to perform analytics and yield Insights on unstructured data.  Experience in Python web framework Flask.  Experience in SQL and NoSQL databases, such as POSTGRESQL and MongoDB respectively.  Working experience in Agile Methodology using tools like Jira and Jenkins.  Experience in using source control system tool such as GIT.

Software Engineer ,Data Analyst

Aroha Technology•  June 2015 - November 2019

 Creating user-friendly solutions and providing RESTful Services, including writing programs/codes; determining optimal business logic implementations  Developing & enhancing software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes using Python  Executing various functions including: o Working on Hyper threaded REST API Apps o Implementing optimize algorithm to handle large scale data o Developing applications to manage data efficiently in different environment o Performing tuning, usability, improvement, and automation  Working on extracting large scale data from different sources during development process including SQL databases, NoSQL databases, GraphQl & S3-Buckets etc.  Managing maintenance of program modules including operational support, problem resolution, production support, preventative & corrective maintenance and enhancements; analyzing & modifying existing codes to incorporate changes in the application / user requirements and writing new codes, as required  Documenting software solutions through flowcharts, layouts, diagrams, charts, code comments and clear code; testing modules developed to ensure that these are as per desired quality standards; identifying & fixing bugs  Identifying ways to integrate data from the client’s systems to report on multiple sources of information; providing best data analytics solutions to clients through qualitative research & advance analysis  Analyzing & reviewing business, functional and high-level technical requirements; designing detailed technical components for complex applications utilizing high-level architecture, design patterns and reusable code  Creating business requirements, source to target mappings and data models in order to assist in the development of highly efficient and highly scalable business intelligence solutions