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CEO @ Productivv Academy, Python & Artificial Intelligence Trainer.
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Assessing your cultural and operational fit
Productivv Academy
Data Scientist
June 16, 2026 – Present
MLOps_IRIS
February 13, 2026 – Present
IRIS Dataset Trained in Random Forest and Implemented in Streamlit and MLFlow
View Projecttodo_flutter
June 28, 2023 – June 30, 2023
this is the todolist app in flutter with node as backend
View ProjectDeepLearningCourse
August 21, 2021 – Present
this repository will contain all the materials that is used my deep learning course
View ProjectQuantum-Computing
June 16, 2020 – August 28, 2020
This Resopsitory Will Contain Pyhon Notebook which will explain about quantum computing using qiskit and IBM
View ProjectMachine-Learning-Course
February 6, 2020 – Present
Machine-Learning-Course — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interest across various technologies (Flutter, Django, JavaScript, Deep Learning, MLOps). This indicates a willingness to explore different domains. However, the projects are all personal and lack detail, making it difficult to assess alignment with team collaboration or specific work methodologies. The target role is 'Data Scientist', and several projects align with this, suggesting a focused interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is a current role as 'Data Scientist' starting in the future (2026-06-16), which suggests a lack of practical, real-world experience. Project descriptions are minimal, limiting insight into collaboration or problem-solving approaches.