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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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Data Scientist
June 13, 2026 – Present
End-to-End-stock-prediction--yfinance-
December 20, 2025 – Present
End-to-End-stock-prediction--yfinance- — GitHub repository
View Projectsurvival-analysis
December 11, 2025 – December 11, 2025
survival-analysis — GitHub repository
View ProjectModel-Explainlability
December 11, 2025 – December 11, 2025
Model-Explainlability — GitHub repository
View ProjectSentiment-Analysis-Model-Deployment-Pipeline
December 10, 2023 – December 10, 2023
This project deploys an 87% accurate sentiment analysis model using LSTM with TensorFlow. The model is served through a Flask web service, containerized with Docker, and orchestrated with Kubernetes. A user interface, implemented with HTML and CSS, enhances the interaction. MySQL on AWS RDS logs predictions.
View ProjectChat-with-Database
December 3, 2023 – December 3, 2023
I've created a chatbot that makes chatting with databases easy. Just provide the OpenAI API and database info, and you can start a conversation with your database. The chatbot not only helps with talking but also gives SQL queries for your questions.
View ProjectPersonal-Chatbot-Using-LLM
September 18, 2023 – October 5, 2023
Created a personal chatbot with the Meta Llama 2 LLM model, offering details on professional background. Integrated Gradio and Langchain frameworks for a user-friendly interface and streamlined app development, utilizing Chroma Vector for text embeddings.
View ProjectDataGuru
June 26, 2023 – November 8, 2023
The "DataGuru" library is designed to provide various data analysis and preprocessing functionalities to simplify common tasks in data science projects.
View ProjectCultural Fit Analysis
The candidate's projects are all personal, indicating a strong self-driven learning and exploration mindset. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team setting. The diversity of projects (NLP, LLMs, MLOps, data preprocessing) suggests adaptability and a broad interest in data science domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, which could suggest a good operational fit for a dynamic environment.