Education
Skills
Accomplishments
Academic Projects
Research
volunteer
Timeline
Generic

SHAIV PATEL

PUNE

Education

Bachelor in Computer Application -

GLS University
Ahmedabad, India
04.2022

Master of Science - Computer Application

Fergusson College
Pune, Maharashtra
06.2024

Skills

  • Web Development
  • React JS
  • Project Management
  • Communication
  • Leadership
  • python
  • Tableau

Accomplishments

  • Techstart Startup Weekend (partner with Google for Startups)(09/19):-In this competition participants need to create group of 3 person and make startup within 48 hours from scratch, And present that idea in front of jury if they like the idea they will support us with their contacts in market and fund our idea. I managed to do all technical work like quick website design with wix, some graphics designing related work in the time duration of 48hours and my team won third prize in competition
  • Cyber Shadez (02/21):-Won first(consolation) Prize in National Level TechFest "Cyber Shadez" organized by my University in second year of BCA there I implemented some cloud computing concepts and created virtual os using Raspberry Pi.

Academic Projects

  • Chat Bot (with ocr functionality) | (09/19)-(12/19) :- Created a Chat Bot for college which can automatically update and store latest data in database and interact with users with latest stored data and able to give information of student's marks, attendance, fees. OCR library was used to extract data from scanned document.
  • Placement cell website | (02/23)-(05/23) :-Created placement cell website using Python,Django and Psql as backend languages which manages college placement in more manner way and organise data of students. Admin and company can post job openings and student can apply through one one click, admin can also create chatroom for placement related quries and questions also student and admin can add write blogs go give more information.
  • Image Classification | (05/23)-(11/23):-Dictionary learning with deep learning has shown promising results in various image processing tasks, such as denoising, deblurring, and super-resolution. However, its potential for image classification has not been fully explored. In this project, we are proposing a Sparse-Based approach for image classification using deep learning.

Research

  • Enhancing Text Classification with Modular Deep Encoder-Decoder Networks for Multimodal Data | (09/23)- Ongoing :-Our study is centered on a Modular-Deep Encoder-Decoder network (MDED) pertaining to text classification. The basic idea behind MDED is to extend a pre-trained model, which consists of a set of deep encoder-decoders, with an additional source of data modality by adding a new encoder to the network. MDED has been applied to text classification on Saudi Newspapers Arabic Corpus (SaudiNewsNet).A modular LSTM is built. As per the outcomes of our experiment, we found that algorithms can efficiently combine new source of data and pre-trained model. The training process can converge into a local optimum in very few epochs when a new data source is added. With a good initial encoder-decoder, the modular LSTM networks can improve classification accuracy by up to 0.51% when a new data source is added

volunteer

  • Volunteer for Blood Donation Camp in College | (2021) :-I managed registration work along with meet and greet with donor in camp.
  • Volunteer for local Indian Medical Association of my hometown and joints my hands to distribute food,water and other essentials to hospitalized patients in local hospitals and also provide oxygen cylinders and medicines advised by doctors to the patients taking home care treatment

Timeline

Bachelor in Computer Application -

GLS University

Master of Science - Computer Application

Fergusson College

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