Hi I am Subhradip Halder. You can call me Halder or just Deep. Thanks for visiting my page.
NOW
š Iām currently working as a Salesforce nCIno Manager.
š¢ I'm currently staying in Toronto,Canada
ā”ļø I am the father of www.zealousi.com - POD Ecommerce store.
BIO
āļø I use daily: python,SQL,Power BI/Tableau,ML Algos.
š I'm mostly active within the Data Science, NFT and Crypto Community
š
Designed and Devloped- www.zealousi.com - POD ( Print on Demand Ecommerce store in India.)
š± Currently Learning - GCP(Google Cloud) ML.
š¬ Ping me about Data Science, Data Analytics, Machine Learning NFT, Creative Design.
š« Email Me - [email protected]
ā”ļø Fun fact: I'm a huge fan of Elon Musk,generative computer art.
PAST
š« Fintech Salesforce Consultant - Deloitte Consulting USA with 9 years of exp.
ššš ššš ššššš šš šš ššš ššššš šš šš¢ šššššš ššššššš. šµššššš šš¢ ššššššš!
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
- Data Analysis
- SQl projects
- Data Visualization
- Cloud Projects
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
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent