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Presentation
I am a Machine Learning Engineer and Python developer specializing in building and improving predictive models. My expertise includes optimization algorithms, clustering techniques, and applied data science using tools like NumPy, Pandas, and Scikit‑Learn .I am certified in Pandas and Machine Learning from Kaggle , ensuring strong technical foundations and reliable solutions.
Recently, I developed Churn Predictor, a real‑time customer churn analysis system using Logistic Regression on 7,000+ records. The project features:
• Interactive dashboards for live prediction and customer data registry
• AI performance insights with accuracy, recall, and feature importance analysis
• Real‑time churn risk probability visualization for business decision support
I provide end‑to‑end solutions from data preprocessing and model training with interactive dashboards. My focus is on reliability, transparency, and actionable insights to help businesses reduce churn and improve customer retention.
Recently, I developed Churn Predictor, a real‑time customer churn analysis system using Logistic Regression on 7,000+ records. The project features:
• Interactive dashboards for live prediction and customer data registry
• AI performance insights with accuracy, recall, and feature importance analysis
• Real‑time churn risk probability visualization for business decision support
I provide end‑to‑end solutions from data preprocessing and model training with interactive dashboards. My focus is on reliability, transparency, and actionable insights to help businesses reduce churn and improve customer retention.
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Portfolio
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Background
Introduction to Machine Learning
Successfully completed Kaggle’s Intro to Machine Learning course, earning a certificate of completion. This credential demonstrates strong foundations in supervised learning, model evaluation, and practical applications using Python. The course was instructed by Kaggle expert Dan Becker and overseen by Alexis Cook, Head of Kaggle Learn, ensuring industry‑relevant training and applied learning.
Pandas
Successfully completed Kaggle’s Pandas course, earning a certificate of completion. This credential validates strong foundations in data manipulation, cleaning, and analysis using Pandas — a core Python library for data science. The course was instructed by Kaggle experts Aleksey Bilogur and Alexis Cook, ensuring industry‑relevant training and applied learning.
🇬🇧English
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Working hours
Monday
From08h00To18h00
Tuesday ▪ Today
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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