Hi I am Subhradip Halder. You can call me Halder or just Deep. Thanks for visiting my page.

NOW

🔭 I’m currently working as a Salesforce nCIno Manager.
🏢 I'm currently staying in Toronto,Canada
⚡️ I am the father  of  www.zealousi.com - POD Ecommerce store.

BIO

⚙️ I use daily: python,SQL,Power BI/Tableau,ML Algos.
🌍 I'm mostly active within the Data Science, NFT and Crypto Community
💅 Designed and Devloped-  www.zealousi.com - POD ( Print on Demand Ecommerce store in India.)
🌱 Currently Learning - GCP(Google Cloud) ML.
💬 Ping me about Data Science, Data Analytics, Machine Learning NFT, Creative Design.
📫 Email Me - [email protected]
⚡️ Fun fact: I'm a huge fan of Elon Musk,generative computer art.

PAST

📫 Fintech Salesforce Consultant - Deloitte Consulting USA with 9 years of exp.

𝚈𝚘𝚞 𝚌𝚊𝚗 𝚛𝚎𝚊𝚌𝚑 𝚖𝚎 𝚊𝚝 𝚝𝚑𝚎 𝚎𝚖𝚊𝚒𝚕 𝚒𝚗 𝚖𝚢 𝚐𝚒𝚝𝚑𝚞𝚋 𝚙𝚛𝚘𝚏𝚒𝚕𝚎. 𝙵𝚘𝚕𝚕𝚘𝚠 𝚖𝚢 𝚜𝚘𝚌𝚒𝚊𝚕𝚜!

Link to my github account to view all the code for the projects mentioned below - Github Portfolio

This portfolio is a compilation of all my work which includes Data Science projects, Data Analysis projects, Data Visualization, NLP projects and much more.

• Data Science Projects
• Kaggle competitions
• Classification problems
• Natural language processing - NLP
• Big data projects.
• Recommendation systems
  • Similar Movie Recommendation System.
• Data Analysis
• SQl projects
• Data Visualization
  • Microsoft Power Bi
  • Tableaui
• Cloud Projects

Github

Live app URL link

Recommenders are systems, which predict ratings of users for items. There are several approaches to build such systems and one of them is Collaborative Filtering. This notebook and app, shows a recommendation system where the user selects a movie from the list of top 5000 movies and it gives you the top 5 most similar movies along with their images.

This notebook is also deployed in Heroko , so you can use the app using this URL : https://similar-movies.herokuapp.com