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Jashore University of Science & Technology
Data Scientist
June 29, 2026 – Present
shahara-laila.github.io
April 7, 2026 – Present
shahara-laila.github.io — GitHub repository
View Projectreal-time-_data_forecast_with_web
February 18, 2025 – February 18, 2025
real-time-_data_forecast_with_web — GitHub repository
View Projectenhanced_document_retrieval_with_RAG_-using_langChain_and_groq_LLM
November 7, 2024 – November 7, 2024
enhanced_document_retrieval_with_RAG_-using_langChain_and_groq_LLM — GitHub repository
View Projectlang_chain_kick_start
October 29, 2024 – October 29, 2024
A comprehensive LangChain-based project implementing document processing essentials: loading, splitting, embedding , vector storage and several applications of LangChain.. This repository also features advanced functionalities for question answering, document retrieval, and information compression, enabling efficient and scalable document analysis.
View Projectflaskapp_with_docker
October 11, 2024 – October 21, 2024
flaskapp_with_docker — GitHub repository
View Projectfake_news_detection
September 7, 2024 – September 9, 2024
In a fake news detection system, I typically work with two types of datasets: one containing real news (e.g., True.csv) and another containing fake news (e.g., Fake.csv).
View Projectmusic_recommender_system
September 7, 2024 – September 7, 2024
Involves using Natural Language Processing (NLP) techniques to analyze the text descriptions and recommend music based on the content.
View Projectbin_packing_problem
June 16, 2024 – September 7, 2024
bin_packing_problem — GitHub repository
View Projectsoftware_testing_journey
June 13, 2024 – June 13, 2024
This repository chronicles my journey in software testing, providing insights and learning experiences. It includes fundamental concepts, best practices, and practical documents to help others start their own journey in software testing. Ideal for beginners looking to understand the essentials of quality assurance.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in Data Science and related fields. The diversity of projects, from web development to machine learning, indicates a broad interest, which could be a good cultural fit for a dynamic environment. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment. The current role as 'Data Scientist' at a university, with a future start date, suggests academic alignment but lacks real-world industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.