-
Tools used:
pandas,
django,
postgres,
scikit,
nltk,
gensim,
- Developed lightweight classifieds platform using Django and PostgreSQL
- Designed and optimized database
- Implemented CRUD operations and search functionality
-
Tools used:
pandas,
django,
postgres,
scikit,
nltk,
gensim,
- Built Python application to parse large movie subtitles dataset and perform sentiment and keyword analysis
- Stored and queried large datasets efficiently using PostgreSQL
- Automated data extraction, cleaning, and database insertion scripts
- Built dashboard to display analytical data using Plotly
-
Tools used:
pandas,
django,
postgres,
scikit,
nltk,
gensim,
- Developed web app for summarizing and analyzing news articles using Django and PostgreSQL
- Implemented reading mode, semantic keyword extraction, and historical headline overview
- Designed backend models and optimized database queries for performance
-
Tools used:
pandas,
django,
postgres,
scikit,
nltk,
gensim,
- Built static web shop for scale modelers using Python scripts and Jekyll
- Automated product import from XLSX files, managed over 10k articles
- Deployed infrastructure with Netlify and GitHub