
Sanjay C
@sanjayc2
Software developer building a Flask product recommendation system that analyzes reviews and ranks products across e-commerce platforms.
What I'm looking for
I developed a full-stack product analysis and recommendation application using Python and Flask. It collects and compares prices, ratings, discounts, and customer reviews from Amazon, Flipkart, Myntra, and Meesho.
I used TextBlob and NLTK for sentiment analysis, classifying reviews as positive, negative, or neutral and deriving product sentiment scores.
I designed a weighted recommendation model that ranks products using price, rating, and sentiment. The Flask backend stores search history and application data in SQLite with SQLAlchemy.
I also created a responsive frontend with sorting, filtering, and category-aware platform routing. My training in data analytics using Power BI covered data import, transformation, and dashboard and report development.
Experience
Work history, roles, and key accomplishments
AI-Based Multi-Platform Product Analysis and Recommendation System
Personal Project
Developed a full-stack web application to collect and compare product information from e-commerce platforms. Implemented NLP-based sentiment analysis and a weighted recommendation model to rank products.
Education
Degrees, certifications, and relevant coursework
Indian Service Machine (ISM UNIV)
Data Analytics using Power BI, Data Analytics
2026 - 2026
Completed training in data analytics fundamentals, including data import, transformation and dashboard/report development using Power BI.
The Oxford College of Science
Bachelor of Computer Applications, Computer Applications
Grade: CGPA: 7.5
Bachelor of Computer Applications (BCA) degree with a CGPA of 7.5.
Vishwa Chethana PU College
12th / PUC, Pre-University
Completed 12th / PUC.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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