09/06/2022 updated
NP
100 % available
Developer
Ahmedabad, India
India
B.E. Computer EngineeringInnovationAnalytical ThinkingPython (Programming Language)Passionate
Passionate about learning  new technologies and to excel innovative technology application. Seeking a challenging position which will enable me continuously to learn, create, innovate and simultaneously contribute to achieve  short and long term goals of the organization effectively using technological & analytical skills.
Experience
Professional experience0 - 5 years
Languages
EnglishFluent
Project history
Working on USA Healthcare project as SAP ABAP developer. Develop, test, and document SAP reports, Interfaces, Conversions, Enhancement, Forms, and Workflows.
Work with the team to develop and test functionality that meets documented design.
Work with the team to develop and test functionality that meets documented design.
Worked as Research Intern at Space Application on "Unsupervised Spectral Unmixing Tool for Hyperspectral Data Analysis" under the guidance Shri. Touseef Ahmad, Scientist-'SD'.
The main objective of the project was to develop python-tool that integrates many effective algorithms in QGIS-platform.
Proposed a algorithm Hyperspectral Material Identification that identify unknown spectral signatures by comparing them to the spectral library or ancillary data.
Python-tool is tested on both benchmark datasets and real hyperspectral dataset.
The main objective of the project was to develop python-tool that integrates many effective algorithms in QGIS-platform.
Proposed a algorithm Hyperspectral Material Identification that identify unknown spectral signatures by comparing them to the spectral library or ancillary data.
Python-tool is tested on both benchmark datasets and real hyperspectral dataset.
- Worked as Student Intern on "Customized Virtual Assistant 'IVA(N)' for ITES using Raspberry Pi" based on Python, Artificial Intelligence, Natural Language Processing, NLTK, AIML.
- The main aim of the project was to answers or solve problem based on questions or commands just like Amazon Alexa, google Assistant.
- We have used Natural Language Processing (NLP) that helps computer to understand and process human language.
- Project was tested on Raspberry Pi device that capture voice using microphone and gives output through speaker.