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multilingual-ecommerce-semantic-search
January 18, 2026 – Present
This project demonstrates a real-world multilingual product search system for e-commerce platforms. It understands user intent across 100+ languages, blends semantic and keyword search for better accuracy, reranks results for relevance, and is optimized for production use with quantization and efficient retrieval techniques.
View ProjectSynthetic_Image_Generation
March 6, 2025 – March 6, 2025
Generate synthetic images using Stable Diffusion, perform basic image preprocessing, and set up a minimal Flux-based neural network to process an image (via a forward pass).
View ProjectCricViz-IPL-Dashboard
January 19, 2025 – January 19, 2025
Interactive Power BI dashboard analyzing Indian Premier League (IPL) cricket data from 2008-2023. Visualizes team performances, player stats, and match analytics across 17 seasons and 1,106 matches. Features comprehensive batting, bowling, and venue statistics with dynamic filtering and drill-down capabilities.
View ProjectMovie_Recommenadation
January 15, 2025 – January 19, 2025
🎥 Movie Recommendation System: A smart system leveraging machine learning and NLP to deliver personalized movie suggestions. Combines content-based and collaborative filtering to analyze user preferences and movie data. Built with Python, it offers an AI-powered solution to enhance movie discovery for every cinephile!
View ProjectWineQualityusingML
August 18, 2024 – August 18, 2024
WineQualityusingML — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in machine learning and data science, aligning with a Data Scientist role. The diversity of projects (e-commerce search, movie recommendations, image generation, network security) suggests a broad curiosity and willingness to explore different domains. However, the lack of team projects or contributions to open-source initiatives makes it difficult to assess collaborative cultural fit. The experience level is listed as 0, which might indicate a junior profile, potentially impacting fit for senior roles requiring extensive industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but collaboration, communication, and problem-solving approaches are not evident.