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Sentiment_Based_Recommendation_System_using_NLP
November 7, 2024 – December 8, 2024
This project aims to develop a sentiment-based product recommendation system for e-commerce. By analyzing user reviews and ratings, it provides personalized product suggestions. Deployed with a user-friendly interface, it enhances the shopping experience and boosts sales for the company.
View ProjectTelecom_Churn_Prediction_using_Advanced-ML
September 29, 2024 – September 29, 2024
Build multiple binary classification models like Logistic Regression, Random Forest, Gradient Boosting, XGBoost, LGBM etc. and compare models performance. Choose best model for helping a telecom company combat customer churn.
View ProjectFashion_Recommendation_System_using_RAG_pipeline
September 27, 2024 – September 27, 2024
A GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.
View ProjectChat_with_PDF_using_LangChain
September 22, 2024 – September 27, 2024
This repository enables AI-driven interaction with multiple PDFs using LangChain and Google Gemini Pro, offering tools for extraction, summarization, and real-time document Q&A.
View ProjectSemantic_Search_on_PDF_using_LlamaIndex
September 22, 2024 – September 22, 2024
Semantic_Search_on_PDF_using_LlamaIndex — Dev.to repository
View ProjectGenAI_based_Shopping_Assistant
August 19, 2024 – September 27, 2024
A conversational chatbot that provides shopping recommendations to users based on their preferences
View ProjectMachine-Learning
January 11, 2024 – January 13, 2024
Machine-Learning — Dev.to repository
View ProjectAspNetCoreWithGraphQL
July 23, 2020 – August 3, 2020
GraphQL implementation with ASP.NET Core Web API
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in the AI/ML domain. The diversity of projects, from GenAI shopping assistants to churn prediction and NLP-based recommendation systems, indicates a broad interest within the target role of Data Scientist. However, the lack of team projects or professional experience makes it difficult to assess collaboration and cultural alignment in a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, which could suggest self-motivation and problem-solving abilities.