Prateek G.

Prateek G.

Data Science | Machine Learning | Deep Learning | Artificial Intelligence | Python | Django

New Delhi , India

Experience: 9 Years

Prateek

New Delhi , India

Data Science | Machine Learning | Deep Learning | Artificial Intelligence | Python | Django

48000 USD / Year

  • Immediate: Available

9 Years

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About Me

Data Science professional with 9+ years of experience in finding patterns, applying advanced statistical methods and algorithms to find hidden insight, and turn the data into revenue, profit, and results. Self-starter and committed data enthusiast...

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Portfolio Projects

Product Recommendation System

https://www.anntaylor.com

Company

Product Recommendation System

Description

Implemented algorithm for product recommendation system

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Tools

Git PyCharm

Automate Fish Length Detection

Company

Automate Fish Length Detection

Role

Data Scientist

Description

Implemented fish length detection system. This system locate the fish from the given image and then predict it's length based on the scale present in the image. This complex system was built for a fish catching organizer company. It automate the fish length calculation manual process and helped client in saving time and money.

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Tools

Heroku PyCharm

Image Classification Model

Company

Image Classification Model

Description

Created an image classification model using deepl learning (keras) and deploy it as Rest API using Flask framework.

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Tools

PyCharm

Automate Product Categorization

https://www.lazada.sg/

Company

Automate Product Categorization

Description

Created and deployed an algorithm to automate teh product categorization process for Lazada- biggest ecommerce sitre in Singapore.

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Tools

AWS Git PyCharm

Company

NTUC Product Search ETL

Description

Implemented Python 3.x scripts to extract, transform and load merchants data for one of the NTUC project. These scripts can perform ETL for 26 merchants avaialble in Singapore. This data helps NTUC in their consumer reward programme.

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Object Detection and Recognition from store images

Company

Object Detection and Recognition from store images

Role

Data Scientist

Description

Extracted brand level details from shelf images. Images contains various wine brands bottles. Extracted information contains brand name, number of bottles, price. Implemented the object detection and recognition system using YOLOv3, keras API with TensorFlow backend, Python 3.7, OpenCV. Deployed the solution as Rest API using Flask.

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Tools

PyCharm

Media

Wine Brand Name and Price detection from Image

Company

Wine Brand Name and Price detection from Image

Role

Data Scientist

Description

Implemented a real time brand & price detection system for a winery distributor client.

This automated system helps to analyze their and competitors brands.

Sales user just need to upload or take a picture from his ipad app and on real time this system shows the brand names, no. of bottles, prices and it's segment.

The complete deep learning based system I have implemented using tiny YOLOv3, TensorFlow, OpenCV and Python.

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Tools

PyCharm Github

Digital Signature Web App

https://signappai.herokuapp.com

Company

Digital Signature Web App

Role

Data Scientist

Description

Django based web application for digital signature functionality where a user can upload pdf or doc format document, drag and drop name/date/signature fields anywhere in the uploaded document, add single/multiple recipients and submit. Recipients get an email notification with a link to sign the document. On clicking the link the document is opened in a browser tab, recipients can add name/date/place signature and submit.  Sender gets the notification as soon as the recipient ha assigned the document and then he can view/download/print the signed document. The uploaded doc and signature are encrypted-decrypted using cryptography and digital signature protocols.

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Tools

PyCharm Github

Media

Real Time Liquor Brand Detection on Video/Recorning

Company

Real Time Liquor Brand Detection on Video/Recorning

Role

Data Scientist

Description

Detecting and Recognizing 400+ liquor brands on real-time video recording or recorded video file. This model has integrated with the iPhone app for one of my clients. This model is implemented using Python 3, YOLOv4-tiny and OpenCV.

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Skills

YOLO Python OpenCV