About Me
Data Scientist & Machine Learning Engineer
A results-driven Data Scientist with a strong technical background, experienced in leading successful data-driven projects and high-performing teams. Specializing in leveraging Generative AI to deliver innovative solutions. Passionate about spreading AI culture through my initiative stAI tuned.
- Email: danielemoltisanti@gmail.com
- Contact: +39 3337337311
- LinkedIn: Profile
- Latest Role: Lead Data Scientist at Sky Italia
- Skills Focus: Machine Learning, Deep Learning, NLP
Awards
- Nova 111 List (Italy) 2022:Recognized as a top talent in Entertainment, Media & Communications among professionals under 35, highlighting my contributions and impact in the field. Nova 111 2022
- Nova Talent Member:Merit-based access network where the top 3% of global talents connect with each others . Membership Certification
Skills
NLP & Generative AI
Programming Languages & Frameworks
Cloud Platforms
Development Tools
Soft Skills
Languages
Expertise
Here you find the expertise from my work experiences
Generative AI
Predictive Analytics
Advanced NLP Analytics
Computer Vision
Initiatives
Here are some of the projects I've worked on, related to my AI passion.
stAI Tuned
Open Knowledge Community where each member shares his knowledge and research bites related to an AI topic in the real life.
Goal: spreading AI insights and the AI culture from practical applications to courious news. stAI tuned is live on the blog website, Linkedin (addressed to an expert audience) Instagram and Tiktok (addressed to a newbie audience) accounts.
Achievements:Nova Mentor
Mentoring university students in their growth, defining their own career path
AI Coach | Profession AI
As a Coach I review and help students of ProfessionAI Master Courses in writing the Machine Learning solution to a given problem
Deep Learning Course | Pytorch
7 practical hours of Deep Learning course where learning:
Resume
Professional Experience
Lead Data Scientist
03/2022 - Present
Sky Italia, Milan, Italy
- Led technically small project teams of data scientists (up to 2 data scientist), providing both mentorship and hands-on support in daily tasks and career growth
- Actively collaborated with cross-functional teams implementing Machine Learning solutions for reducing the churn rate up to 30%
- Developed and executed a technical strategy for automatizing manual business processes for the continuous improvement of the Virtual Agent, using ML and NLP, enhancing operational efficiency by 50%
- Implemented a topic modeling algorithm on conversational text within the Virtual Agent channel, achieving a 40% reduction in conversation analysis time
- Introduced and experimented Generative AI techniques to create a smart data assistant, significantly enhancing data accessibility, visualization, and decision-making processes for Data Employees, leading to a 40% reduction in data retrieval times.
Tools: Python, Pytorch, SQL, GCP, Airflow, Generative AI, Langchain, LLM
R&D Data Scientist
01/2021 - 03/2022
Youtility Center (Gruppo Distribuzione SPA,. Milan, Italy
- Managing Technical aspects of Conversational AI projects (chatbots).
- Achieved over 95% accuracy relative to NLU (natural language understanding) models.
- Achieved over 95% accuracy relative to NLG (natural language generation) models.
- Handled complex chatbot (more then 150 intents).
- Developing and managing the backend and the infrastructure needed for the conversational models
- Developed multi-bot infrastructure, managing multiple bots inference in parallel.
- Developed multi-language and multi-domain chatbots.
- Making use of AWS services, such as storage (S3), IaaS (EC2) and database (Aurora).
Tools: Python, Tensorflow 2.x, AWS, Rasa 2.x, Docker, Docker-Compose, NLTK, Spacy, SQL
Data Scientist
05/2020 - 01/2021
Accenture S.p.A., Milan, Italy
- Developed a custom NER model for the document understanding task related to Financial Industry, starting from a small dataset.
- Achieved over 95% accuracy relative to the entity classification of documents, even if the small input data.
- R&D relative to NLP tasks such as Entity Extraction and Named Entity Recognition (NER).
- Developed a custom Computer Vision denoising model for noise reduction in documents, achieving relevant improvements for the OCR task.
- Developed projects making use of Google Cloud Platform (GCP) services, such as IaaS (compute instances), PaaS (app engine), storage
Tools: Python, Pytorch, Tensorflow 2.x, Keras, CUDA, Git, OpenCV, GCP
AI engineer - Internship
09/2018 - 02/2019
Blue reply, Milan, Italy
- Contributed in the development of a virtual assistant, where I developed the cognitive model for classifying fashion items in images.
- Experienced with IBM Watson services.
- Integrated the cognitive model into the telegram channel, handling RestAPI.
Tools: Python, Pytorch, CUDA, Git, IBM Watson
Education
Master's Thesis Researcher
2019 - 2020
Politecnico di Milano, Milan, Italy
Title: "Anomaly Detection through Ganomaly: patch-wise training and transfer learning"
Goals: introducing improvements to the Ganomaly state-of-the-art for Anomaly Detection in order to achieve a more efficient training for any-dimension images and a more effective performances through the transfer learning technique.
Master's Degree in Computer Science and Engineering
2017 - 2020
Politecnico di Milano, Milan, Italy
Artificial Intelligence path
Athens Programme - Intensive University Cource - From Complexity to Intelligence
2019
Telecom Paris-Tech, Paris, France
Participation to the European Athens Programme, attending an intensive course related to the complexity aspect with respect to the artificial intelligence algorithms
Erasmus+ project at Universitat Politecnica de Valencia
2018
Universitat Politecnica de Valencia, Valencia, Spain
Bachelor's Degree in Computer Engineering
2014 - 2017
Politecnico di Milano, Milan, Italy
Languages
Italian
- Native
English
- B2 Level - TOEIC | ETS Global B.V.
Spanish
- B2 Level - FIDESCU
Certifications
Contact
Location:
Milan, Italy
Email:
danielemoltisanti@gmail.com