Experience

Data Science Retreat

• Germany
• Professional Training and Coaching
• 1 - 100 Employee

• Data Scientist

  • Jun 2023 - Present



Infosys

• India
• IT Services and IT Consulting
• 700 & Above Employee

• Senior Software Engineer

  • Jan 2022 - Jan 2023

  Work closely with colleagues and clients on a daily basis through face to face communication.Attending daily team meetings and SCRUMS.Supports and develops Junior software engineers by providing advice, coaching, and educational opportunities.Creating Full Stack applications across various platforms using latest industry – adopted technologies and frameworks.Expertised in Software Development Life Cycle and comfortable working with Agile methodologies.Creating websites from front to backend using JavaScript, HTML, CSS, Angular, SQL, C# and Knockout JS.Followed test driven development with unit testing for each microservices and E2E testing for entire systems.Discuss ideas with team and senior manager and review tasks. Show less

• Software Engineer

  • Jan 2020 - Dec 2021

  • Developed Full Stack application across various platform using latest industry – adopted technologies and frameworks.• Played a key role in development, performance improvement and operational web- based software.• Work closely with product to meet project requirements, goals and designed functionality.• Develop website from front to back end using JavaScript, HTML, CSS, SQL and Angular.• Followed test driven development with unit testing and for each micro service and E2E testing for entire systems.• Expertise in software development lifecycle and comfortable working with Agile methodologies. Show less



Tata Consultancy Services

• India
• IT Services and IT Consulting
• 700 & Above Employee

• Internship In Machine Learning

  • Jun 2018 - Jul 2018

  Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks.