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I'm Michele Paganoni, a Data Scientist and AI Engineer focused on turning data into impactful, production-ready solutions. I combine machine learning, deep learning, and conversational AI with hands-on Python development and cloud deployments. I enjoy working end-to-end—from data analysis and modeling to deployment and iteration in real-world systems—and I thrive in collaborative environments across research, engineering, and business teams.…I'm Michele Paganoni, a Data Scientist and AI Engineer focused on turning data into impactful, production-ready solutions. I combine machine learning, deep learning, and conversational AI with hands-on Python development and cloud deployments. I enjoy working end-to-end—from data analysis and modeling to deployment and iteration in real-world systems—and I thrive in collaborative environments across research, engineering, and business teams.

Michele Paganoni

Data Scientist, AI Engineer, Full Stack Developer, +3

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I'm Michele Paganoni, a Data Scientist and AI Engineer focused on turning data into impactful, production-ready solutions. I combine machine learning, deep learning, and conversational AI with hands-on Python development and cloud deployments. I enjoy working end-to-end—from data analysis and modeling to deployment and iteration in real-world systems—and I thrive in collaborative environments across research, engineering, and business teams.…I'm Michele Paganoni, a Data Scientist and AI Engineer focused on turning data into impactful, production-ready solutions. I combine machine learning, deep learning, and conversational AI with hands-on Python development and cloud deployments. I enjoy working end-to-end—from data analysis and modeling to deployment and iteration in real-world systems—and I thrive in collaborative environments across research, engineering, and business teams.

Available to hire

I’m Michele Paganoni, a Data Scientist and AI Engineer focused on turning data into impactful, production-ready solutions. I combine machine learning, deep learning, and conversational AI with hands-on Python development and cloud deployments.

I enjoy working end-to-end—from data analysis and modeling to deployment and iteration in real-world systems—and I thrive in collaborative environments across research, engineering, and business teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Italian

Fluent

English

Fluent

Spanish; Castilian

Beginner

Russian

Beginner

Work Experience

AI Decision Science Analyst at Accenture

September 1, 2024 - Present

Part of a cross-functional team delivering AI-powered solutions for enterprise clients, focusing on conversational and generative AI. Built and deployed a virtual assistant; developed Python-based backend features and Azure AI integration, Copilot Studio, and Retrieval-Augmented Generation (RAG) architectures to improve response accuracy and consistency. Contributed to a voice and chat assistant project for a major energy company using GCP and Dialogflow CX; supported internal experimental projects and rapid prototyping.

Visiting Researcher - Internship Exchange at Kaunas University of Technology (KTU)

September 1, 2023 - February 1, 2024

Conducted Master Thesis research on ML/DL models for cardiac arrhythmias classification, applying classical ML and neural architectures to physiological time-series data. Preprocessed and analyzed real and simulated photoplethysmographic signals; designed, trained, and evaluated ML/DL models through systematic cross-validation to achieve robust predictive performance.

Data Science Analyst at Accenture

September 1, 2024 - Present

Developed conversational assistants for enterprise clients (AI-powered and rule-based); designed and implemented backend services in Python integrating large language models and external APIs; managed cloud deployment of applications and AI models across Azure and Google Cloud Platform environments; performed data analysis using SQL; built dashboards and data visualizations to support decision-making and performance monitoring.

Visiting Researcher – Internship Exchange at Kaunas University of Technology (KTU)

September 1, 2023 - February 1, 2024

Conducted academic research on ML/DL methods for cardiac arrhythmia classification from physiological signals; applied signal processing, feature extraction, model training, validation, and performance evaluation on real and simulated PPG data; worked with MATLAB for signal processing and simulation, and Python for data processing and model development; collaborated with academic supervisors to document results.