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Hi, I am Sagar Kurada πŸ‘‹

πŸ”­ Love to work at intersection of consumer data & machine learning to build and deploy ML systems that help customers.

🌱 Currently learning how to make machine learning work in the real world.

πŸ‘― Looking to collaborate in building consensus on models’ implementation for developing optimal methodologies.

🎯 Partnered with industry in multiple projects, leveraging NLP & ML to generate actionable insights and product ideas for stakeholders.

πŸš€πŸ€– The Dream πŸ€–βœˆοΈ

Help manifest approachable technologies to everyone in all forms of life, self-organizing transportation with optimized supply chains.

⚑ Fun fact:

Published a python library "DataButler"in PyPi, used for automating data profiling and data cataloging process.

Sagar Kurada's Projects

airbnb-nyc-urban-tourism-challenge icon airbnb-nyc-urban-tourism-challenge

Framework for 48000+ hosts & 800,000 annual visitors in New York City to generate customized and computationally efficient - lists of Airbnbs given combinations of parameters of budget, number of days of stay, availability probability of the listing and the number of reviews.

kickstarter---project-success-prediction icon kickstarter---project-success-prediction

Kickstarter is a global crowdfunding platform built around creative projects/ideas. It serves as a launchpad for creators to realize their project ideas. The aim is to develop a model that could help backers select the right project/idea by predicting which projects are likely to be successful

movietycoon-gcp-based-bi-tool icon movietycoon-gcp-based-bi-tool

GCP hosted product for over 1 million movie investors on HSX.com, aiding online movie trading and box-office investments by leveraging Big Data technologies like Hive and Hadoop, and Tableau dashboards

newsense-news-recommendation-system-using-twitter icon newsense-news-recommendation-system-using-twitter

Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering)

sagarkurada.github.io icon sagarkurada.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

scam-detection-of-craigslist-post icon scam-detection-of-craigslist-post

The main objective of this project is to help product managers at Craigslist achieve the goal of user satisfaction. To achieve this goal, it is necessary to flag a suspicious ad listing on the website and take necessary action against it. Our approach constitutes a mix of primary and secondary research for feature selection model formation for detecting scam posts.

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