Pyusha P.

Pyusha P.

Full Stack Developer | Machine Learning Engineer with 6 years of experience

Bengaluru , India

Experience: 6 Years

Pyusha

Bengaluru , India

Full Stack Developer | Machine Learning Engineer with 6 years of experience

106765 USD / Year

  • Immediate: Available

6 Years

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About Me

Pyusha has been practising artificial intelligence and Machine Learning lately and has implemented projects using Supervised learning approaches viz, Logistic Regression, K Neighbours Classifier, Naïve Bayes, Unsupervised Learning Techniques, ens...

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Portfolio Projects

Visa Website

Company

Visa Website

Role

Full-Stack Developer

Description

Worked on the marketing website of VISA that has information about the products and services visa offers like Visa offers, promotions, careers, different kinds of visa cards. The website is available globally in regional languages as well for some regions.

Developed a mechanism to switch the data centers in one click. This helped in diverting the live traffic to any of the data centers in case of data center outage.
Developed login functionality of the website, only some regions use that currently.
Worked in enhancing the performance for the website.
Upgraded the proxy servers and mail servers to Apache JWS. Worked unit test cases to ensure easy maintainability of the code.

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MGM Resorts

Company

MGM Resorts

Description

This is an e-commerce website where you can buy law books. The website is only for LATAM countries.

Integrated google analytics with the website and added tacking for the key features lie add to cart, checkout.
Developed a content approval system for reviewing the content before it is published.

Developed an API to integrate AEM with Hybris so that data can flow between the two systems.

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credit risk analysis

Company

credit risk analysis

Description

Credit-Risk Analysis – Identification of appropriate customers who have credit repaying ability on the basis of historical database of the existing customers who are defaulters and the ones who are not by using various Supervised learning approaches viz, Logistic Regression, K Neighbors Classifier, Naïve Bayes.

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Tools

spyder PyCharm