Parth Lathiya
Data ScientistSurat, Gujarat, IndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.