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#Data Scientist Interested in exploring hidden insights in data and turning data into valuable insights. Interested fields: #AI #Deep learning #NLP#Chatbots
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LLM-Journey-A-Complete-Reference-for-All-Skill-Levels
June 26, 2024 – February 4, 2025
🚀 Welcome to the LLM Reference Repository! 🌟 Your one-stop hub for mastering Large Language Models (LLMs). Discover diverse prompting techniques, fine-tuning tips, and best practices for optimizing LLMs. Perfect for developers, researchers, and AI enthusiasts aiming to harness the full potential of LLMs. Let's innovate together! 💡📚
View ProjectLearn-Data-Science-from-scratch
May 31, 2022 – December 17, 2024
Learn-Data-Science-from-scratch — GitHub repository
View ProjectMachine-learning-from-scratch
March 2, 2021 – March 2, 2021
This repo contains machine learning codes and links for reference. This repo is used for reference as well it helps beginner to find everything at one place.
View ProjectMachine-learning
September 17, 2018 – January 17, 2019
Machine-learning — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-learning and knowledge sharing in the Data Science and Machine Learning domains. This aligns with a culture of continuous improvement and open collaboration. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond individual initiative. The projects are diverse within the ML/DS domain, but lack breadth in other areas, which might limit adaptability to varied team needs.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a learning-oriented and sharing mindset, but no direct evidence of collaboration, problem-solving under pressure, or communication in a team setting is available.