AI & Machine Learning specialist focused on data science, predictive modeling, and intelligent agents. Passionate about building AI-driven solutions that turn data into actionable insights.
Applying machine learning, data analysis and AI strategy to generate measurable business outcomes.
Building and evaluating predictive models — from data preprocessing and feature engineering to model deployment and performance metrics.
Extracting meaningful insights from complex datasets using Python, Pandas, and statistical methods to support data-driven decisions.
Designing autonomous AI agents capable of independent decision-making and problem-solving across diverse real-world tasks.
Applying AI to optimize Customer Success workflows — automating touchpoints, predicting churn signals, and personalizing the customer journey at scale.
Technologies, frameworks and methodologies I use to build data-driven solutions.
Academic foundation and professional credentials that underpin my applied work in AI and data.
Real-world applications built at the intersection of AI, data engineering and business strategy.
A collection of autonomous AI agents built for diverse tasks, showcasing independent decision-making and problem-solving capabilities across market scenarios.
Exploratory data analysis and ML pipeline to predict cable TV cancellation. Covers preprocessing, feature engineering, one-hot encoding, standardization and model evaluation.
Open to collaborations, research projects and opportunities in AI & Data Science. I typically respond within 24 hours.