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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)

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twitter recommender-system personalized-recommendation tweepy lda cosine-similarity collaborative-filtering content-based-recommendation topic-modeling sentiment-analysis

newsense-news-recommendation-system-using-twitter's Introduction

Hi there, my name is Akshay & I'm a Product Manager!

I am on a personal mission to empower the under-privileged with technology by building world-class products and using BI, data science, & ML as tools to drive business innovation.

🚀✈️ My Dream ✈️🚀

Help manifest conversational ecommerce, 5G IoT revolution, edge computing, sustainable energy & Cloud for All.

🎯 Activities 🙇🏻

  • Building new products and capabilities at LeaseQuery to help it transition from single product company to multi-product platform
  • Data pro with 3 years in shipping data-driven solutions for global business teams in ecommerce, finance, product & growth analytics.
  • Partnered with industry in multiple projects, leveraging NLP & ML to generate actionable insights and product ideas for stakeholders
  • Author for "Towards Data Science" & "Python in Plain English", 2 leading data related Medium publications

🏆 Honors ✏️

  • Academic: Dean's List 2019, Honors List 2020 @Purdue
  • Winner: Google Data Hackathon, Purdue Chapter
  • Selected Competitor: INFORMS Business Analytics Conference 2020, Denver (industry poster)
  • Leadership: Executive Board Member, Krannert Graduate Student Organizations - GWIB, KABC @Purdue

🔭 I’m currently working on 🌱

  • Using AI/ML to create cutting-edge MVPs and POCs
  • Product management/Leadership skills

💬 Want to connect? 📫

⚡ Fun fact 😀

I love travel, F1, music. My top 3 tech channels: MKBHD, Unbox Therapy, TechCrunch

newsense-news-recommendation-system-using-twitter's People

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