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👋 Hi! I am Parth Nagarkar, A Software Engineer at Amazon Web Services (AWS) with an MS in Computer Science from Stony Brook University. Specializing in backend development, I'm currently a part of the AWS Supply Chain product team, focusing on the Demand Forecasting module. My hands-on experience ranges from architecting scalable systems to collaborating with diverse teams to ensure efficient data processes. I bring expertise in multiple programming languages and frameworks, including Python, Java, Spring, Flask, and AWS. My stint at Amazon has fortified my knowledge in supply chain systems, and I take pride in influencing architectural decisions and upholding AWS standards.

Let's connect! Find me on the web.

        

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Technologies Used 👨‍💻

python java C bash matlab flask streamlit mysql postgresql git googlecloud heroku selenium html5 heroku bootstrap javascript

Parth Nagarkar's Projects

sentiment-analysis-of-fifa-wc-tweets icon sentiment-analysis-of-fifa-wc-tweets

A random collection of 5.3 lac tweets on the FIFA world cup 2018 starting from the Round of 16 till the World Cup Final were analyzed using the TextBlob library which has a pre-trained built in lexicon to classify them as either positive, negative or neutral. A pie chart was used to show the percentage of positive, negative or neutral tweets related to the world cup.

sentiment-analysis-twitter icon sentiment-analysis-twitter

In this project, the sentiment analysis of tweets posted on the website www.twitter.com is performed with the help of Multinomial Naive Bayes classifier.

ssfs icon ssfs

Simple & Stupid Filesystem (Using FUSE)

webapp icon webapp

WebApp Quandl.com API to tell stock growth history in a given period.

youtube-dl icon youtube-dl

Command-line program to download videos from YouTube.com and other video sites

zoxide icon zoxide

A smarter cd command. Supports all major shells.

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