Hi 👋 I am an enthusiastic Data Scientist with 6+ years of experience, deeply passionate about Data Science and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proglove
Data Scientist
June 27, 2026 – Present
badiaa-genai-playground
February 11, 2026 – Present
badiaa-genai-playground — GitHub repository
View Projectbadiaa-analytics-engineering
February 5, 2026 – Present
badiaa-analytics-engineering — GitHub repository
View Projectbadiaa-mlops-production
November 25, 2024 – November 29, 2024
This repository contains articles on MLOps, covering key concepts, best practices, and strategies for deploying and managing machine learning models in production. If needed, I will include code scripts to support the topics discussed and provide practical examples.
View Projectbadiaa-time-series-forecasting
March 22, 2024 – April 15, 2024
Master time series analysis with clear explanations and practical examples for various algorithms. Simplify your learning journey from theory to practice, whether you're new or experienced.
View ProjectML_Zero2Hero
March 20, 2024 – Present
Dive into machine learning from basics to advanced with this GitHub repository, your go-to resource for mastering the field.
View ProjectDS_ML_InterviewBank
October 16, 2023 – September 3, 2025
This repository contains a comprehensive collection of diverse questions covering various aspects of data science and machine learning
View Projectbadiaa-computer-vision
October 16, 2023 – December 9, 2024
It offers theoretical insights and practical implementations for computer vision tasks. It provides tutorials, code examples, and projects for beginners and experienced practitioners.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects in diverse areas of data science and machine learning suggest a proactive and self-driven learning approach, which aligns well with a culture of continuous improvement and innovation. The focus on MLOps and production aspects indicates a practical, results-oriented mindset. However, without information on collaboration or communication styles, a full cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.