2
Publications
0
Followers
0
Following
0
Questions
About
Skills & Expertise
Python
Pytorch
Keras
CNN
RNN
LSTM
RESNET
R
R Studio
Deep Learning
Visual Question Answering
Image Captioning
Content Classification
Link Priority Estimation
Keyword Sampling
Random Forest Classification
COCO Dataset
Counter
JavaScript
HTML
CSS
Microsoft Office Suite
Data Analysis
Machine Learning
Natural Language Processing
Research Interests
Research
Data Science
Econometric Analysis
Data Visualization
Project Management
E-Waste Management
Teamwork
Communication
Problem Solving
Leadership
Organization
Connect With Me
Experience
Research Intern
- Worked on COCO Dataset which consisit about 80,000+ images and 4 json files and processed them using CNN and RNN. Preprocessed the Dataset and build a Visual Question Answer Model using Deep Learning Algorithm.
Data Science Research Intern
- A startup that basically provides consultancy across the globe and provide solution related to Data science and similar aspect. Worked on more than 6 projects and prepared journal and conference paper that is later on published in International Conference.
Energy Conservation Intern
- Worked on Managing Scrap Parts and providing Solution for E-Waste Management related to PCBs of Washing Machine
Education
Veda Vyasa D.A.V Public School
Veda Vyasa D.A.V Public School
Maharaja Surajmal Institute of Technology, GGSIPU
Projects
Road Construction Delay in UAE
Analysis done on a Survey report and thus finding the the major or crucial reason behing the construction projects STACK - R, R Studio, Data Visualization
New India before and after Modi
An Econometric analysis that basically focuses on the development of India in various sector in before and after the Modi Government. STACK - R, R Studio, Data Visualization
Images Captioning
A model using Convolutional Neural Network and Recurrent neural Network where the system will generate a caption for the given image. STACK Pytorch, Keras
Visual Question and Answering
Built a model where the system will train itself according to the given dataset and will analyze a question tensor and the image image and will automatically generate an answer. For Image Processing RESNET Model is used and for text processing LSTM Network is used. STACK Pytorch,Counter
Publications (2)
dd