Analyst Interested in ML and problem solving using LLMs and traditional ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
nsut
Data Scientist
June 19, 2026 – Present
Airlines-Reviews-Analysis
January 15, 2025 – January 15, 2025
The Air France Reviews Dataset is a collection of customer reviews specifically curated to analyze feedback on Air France services.
View ProjectAI-Powered-Video-Content-Explorer-and-Query-Resolver
March 27, 2024 – March 27, 2024
The project is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI’s Whisper to transcribe YouTube videos and answer queries about the content. The tech stack includes Langchain, OpenAI, HuggingFace, Pinecone, and Google GenAI to ensure efficient transcription, question-answering, and data management.
View ProjectImage-Resolution-Improver-using-HF
March 17, 2024 – March 17, 2024
Image-Resolution-Improver-using-HF — GitHub repository
View ProjectBuilding-RAG-Application
March 17, 2024 – March 17, 2024
Building RAG Application using Python, Llama2, Pinecone, langchain
View ProjectSD-video-to-HD-video-convertor
March 17, 2024 – March 17, 2024
To develop a prototype of a video conversion process that can convert SD videos to HD videos using diffusion (image to image, Inpainting) type models, while preserving the context of the video and being efficient.
View ProjectPharma-Sales-Analysis-and-Forecasting
December 15, 2022 – December 15, 2022
Pharma Sales Analysis and Forecasting using ARIMA, PROPHET and NEURAL NETWORKS
View ProjectPrinciple-Component-Analysis
July 2, 2022 – January 4, 2023
Principle-Component-Analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards individual exploration and development in data science. The current experience lists 'nsut' as a company, which might indicate an academic or research setting, aligning with a learning-oriented culture. However, the lack of diverse team projects or collaborative experience makes it difficult to fully assess cultural fit for a typical industry role. The 'experienceLevel' is 0, suggesting entry-level, which might require more mentorship and integration into a team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.