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Data science enthusiast with projects in machine learning - Time series and NLP. "For the things we have to learn before we can do them, we learn by doing them"
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Assessing your cultural and operational fit
Self Employed
Data Scientist
June 29, 2026 – Present
gleamglow-estates-clean
April 5, 2025 – May 14, 2025
gleamglow-estates-clean — GitHub repository
View ProjectLLM-Training
December 13, 2024 – December 17, 2024
Catching up on the LLM train after 6 months serving
View ProjectSpeech_RAG_Text
December 13, 2024 – December 13, 2024
Using RAG we input an audio that searches our document in this case resume and gives us an answer in using context from our resume
View Project100-Days-of-Python
December 22, 2023 – December 27, 2023
100-Days-of-Python — GitHub repository
View ProjectWeb-Development
June 22, 2023 – November 28, 2023
On my journey to finally learning Frontend development. I have embarked on learning how to write HTML.
View ProjectNLP-Text-Processing
May 9, 2023 – May 9, 2023
This shows the text processing required for NLP before prediction
View ProjectML-Property-Price-Predictions
April 14, 2023 – April 14, 2023
This project is a machine learning-based real estate price prediction application built to help potential property buyers and sellers make informed decisions based on accurate price estimations.A voting Regressor model was used for the price prediction, the web application is developed with FAST API framework, and deployed on Heroku
View ProjectCultural Fit Analysis
The candidate's projects indicate a self-starter attitude and a strong interest in learning new technologies, particularly in the AI/ML domain. The diversity of personal projects, from web development to advanced NLP/LLM, suggests a broad curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.