Author of Book/M-Tech in Machine Learning data scientist/ML/NLP/ImageProcessing/Speech recognition/deep learning Corporate Trainer in ML/DataScienc/NLP
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DELL Technologies
Data Scientist
June 18, 2026 – Present
Time-Series-Forecasting-Using-LLM
May 25, 2024 – May 25, 2024
Time Series Forecasting Using LLM
View ProjectRAG_with_TLM
May 5, 2024 – May 5, 2024
Trustworthy Retrieval-Augmented Generation with the Trustworthy Language Model
View ProjectEssential-Data-Science-Case-Study-Interview-Questions
April 13, 2024 – April 14, 2024
This repository contains a diverse collection of case studies and use cases commonly asked in data science interviews across different companies.It includes well-documented implementations of these use cases to provide valuable insights and learning opportunities.
View ProjectResturant-Recommendation-Multi-Modal-RAG-using-Gemini
December 28, 2023 – December 28, 2023
Resturant-Recommendation-Multi-Modal RAG-using-Gemini
View ProjectLLM-PlayLab
December 2, 2023 – November 26, 2025
This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and impact of these models across various applications.
View Project-meta_llama_2finetuned_text_generation_summarization
July 20, 2023 – July 21, 2023
meta_llama_2finetuned_text_generation_summarization
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on Large Language Models and related applications, which aligns well with a Data Scientist role focused on advanced AI/ML. However, the lack of diversity in project types beyond LLMs (e.g., traditional machine learning, data engineering, statistical modeling) might indicate a narrower scope of interest or experience. The single listed professional experience as a Data Scientist at DELL Technologies, with a future start date, provides limited insight into past cultural contributions or adaptability. The candidate's experience level is listed as 0, which contradicts the Data Scientist role at DELL, suggesting a potential data discrepancy or an entry-level role. This impacts the assessment of cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on communication clarity, teamwork, or problem-solving approaches in a collaborative setting.