Shubham B.

Shubham B.

Data Science Intern @MuseWearables | Jr. Machine Learning Engineer @Omdena

Meerut , India

Experience: 1 Year

Shubham

Meerut , India

Data Science Intern @MuseWearables | Jr. Machine Learning Engineer @Omdena

1 Year

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About Me

I am interested in a position to utilize my passion for Machine Learning, Computer Vision Deep Learning, and NLP in helping the company's growth while gaining more experience. I did a remote internship with a role of Data Scientist in Conzumex...

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Portfolio Projects

Neural Sign Language Machine Translation

Company

Neural Sign Language Machine Translation

Description

Led a 4 person team and implement a Neural Sign Language Translation (NSLT) model,
which can generate spoken language translations from sign language videos.

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Renewable Energy Challenge in Nigeria

Company

Renewable Energy Challenge in Nigeria

Description

Worked in a team of 35 people and created a machine learning model that identifies regional clusters in Nigeria where renewable energy microgrids are both most viable and likely to have a high impact on the community.

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Super Resolution of an Image

Company

Super Resolution of an Image

Description

Build a Generative Adversarial Neural Network to super resolve an image by an up- scaling factor of x4.

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Prediction of Apparent Age and Gender from an Image

Company

Prediction of Apparent Age and Gender from an Image

Role

Data Scientist

Description

Implemented a model DEX which predicts apparent age and gender from a single image without facial landmarks.

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Language Identication using WiLI-2018

Company

Language Identication using WiLI-2018

Role

Data Scientist

Description

Extracted character-based TF-IDF features from training data and then trained them on a MLP. Given an unknown paragraph, it predicts the dominant language (among 235 different languages).

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Neural Style Transfer

Company

Neural Style Transfer

Description

Implemented Neural Style Transfer, it is an algorithm that given a content image C and a style image S, can generate an artistic image. The overall style cost function is obtained using several hidden layers and optimizing the total cost function results in synthesizing new images.

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Car detection with YOLOv2

Company

Car detection with YOLOv2

Description

Worked on YOLO, which is a state-of-the-art object detection model that is fast and accurate. It runs an input image through a CNN which outputs a 19x19x5x85 dimensional volume.

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