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$2 USD / heure
Drapeau de INDIA
dobhi, india
$2 USD / heure
Il est actuellement 10:25 PM ici
Rejoint le juin 22, 2022
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Santosh K.

@robinhud299

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$2 USD / heure
Drapeau de INDIA
dobhi, india
$2 USD / heure
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Data Scientist

Hi, I am passionate towards Data Science and Analytics. I have strong skills in Data Science end to end solution(ML,DL,NLP), Python, Deployment, SQL, Software Testing etc... I have 3 years of work experience as Functional Software Tester in Top MNC. Looking to work on Data Science and Analysis projects where I can use my best of knowledge and can provide end to end solution in minimal rate.
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Portfolio

10119400
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
10119245
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
10119400
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
Link: https://isantosh-portfolio.herokuapp.com/
Portfolio WebApp
10119245
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp
This is a Machine and Deep Learning project developed in python. The core intuition of this project is very simple You just need to upload any fashion item and it will recommend the top 10 closed matches as per the given picture and display with the product buy link, current price on Flipkart, and rating. You can directly buy the recommended product by clicking on the BUY button, it will redirect to the Flipkart page. Terminology used: 1. CNN(DL) model trained over 60K fashion product image dataset 2. Used K-means (ML) algorithm to find the recommendations 3. Frond-end designed in Dash(Flask) 4. Complete Project deployed on Heroku and it is live. Project link: https://fashnkart.herokuapp.com/ ## WebApp This web app has three tabs 1. Recommend: Here you can get your recommendations 2. Analysis: You can see the data analysis of the dataset used in this project 3. Source Code: Here you can find the complete code for this project, it will redirect to Github page.
Flipkart Fashion Recommender WebApp

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Expérience

Software Test Engineer

WhaleCloud Technology India Pvt Ltd
mai 2020 - Jusqu'à présent
Working as a Functional Software tester in the telecom domain. • Performs manual testing (70%) and automation testing (30%). • Single handling a small team of 4 developers for the past year. • Test Planning, test execution, defect reporting, and task tracking. • Testing on various platforms like Desktop apps, Mobile Apps, Websites. • Reported 60% of the total defect in the past two years. • Automated database using python

Associate Analyst

Wipro Limited
févr. 2019 - janv. 2022 (2 ans, 11 mois)
Joined as Intern after completing 6 months of internship and promoted as Associate Analyst. • Manual tester in US payroll domain. • Test execution, test planning, defect reporting. • Performed various types of testing like integration, regression, retesting, and UAT testing. • Also performed configuration and unit testing on low-level projects.

Éducation

Btech (Computer Engineering)

Rajasthan Technical University, India 2016 - 2019
(3 ans)

Qualifications

Python Certification

Amity Future Academy
2020
Learned Python, OOPS concepts, Tkinter framework, Numpy, Pandas, Openpyexcel, and many more libraries.

Data Science Certification

Udemy
2022
Completed Data Science Bootcamp course from Udemy. This course offered knowledge of Python, Data Cleaning, Data Visualization, Data Engineering, ML/DL/NLP Model Building, Performance metrics, and Model improvements. also offered SQL and project deployment on the server. Tools: Python, Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn, Plotly, Dash, Tensorflow, Heroku, SQL, etc...

Contactez Santosh K. concernant votre travail

Connectez-vous pour discuter de tous les détails via la messagerie.

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