Italo D'Amato
Verified Expert in Engineering
Data Scientist and Developer
London, United Kingdom
Toptal member since June 21, 2022
Italo is an experienced data scientist who can handle any data-related request to improve product discovery and conversion. He is keen on data engineering, analytics and dashboards, and machine learning (ML) models. Italo has worked on different data projects involving tracking, ingestion, cleaning, data warehousing, and pipelines and using TensorFlow DNN, clustering, regression, recommender systems, and NLP. He is also experienced working with Looker, Tableau, Domo, and Mixpanel.
Portfolio
Experience
- Statistics - 5 years
- Python - 4 years
- SQL - 4 years
- Machine Learning - 3 years
- Looker - 3 years
- GitHub - 3 years
- Experimental Design - 3 years
- Tableau - 2 years
Availability
Preferred Environment
MacOS, Python, SQL, Tableau, Looker, Mixpanel, Domo, Apache Airflow, Data Build Tool (dbt), GitHub
The most amazing...
...project I've worked on was improving product discovery and conversion by running multivariate experiments with diverse machine learning recommender algorithms.
Work Experience
Senior Data Scientist
Dapper Labs
- Developed an ML model to compute the historical fair market value of NFTs.
- Designed, documented, and implemented new data marts using dbt.
- Built executive dashboards analyzing blockchain data using Tableau.
Data Scientist II – Algorithms
Deliveroo
- Conducted AB tests and monitored the global launch of a new prediction model of preparation time, working closely with machine learning engineers.
- Applied econometric techniques, including diff-in-diff and fixed-effects regression, to statistically infer causal relationships without product experimentation.
- Built the MVP of a rider delivery network simulator to speed up operational research and algorithm experimentation. Used Python pygame, Google Maps APIs, and geo-data manipulation.
Senior Product Analyst
Depop
- Improved product discovery with higher relevancy and conversion by running multivariate experiments of different machine learning recommender systems.
- Developed and implemented the in-house AB test tracking platform in Looker from scratch.
- Implemented the hash variant assignment for product experimentation, increasing the parallel XP capacity by 10-fold. Wrote a post about the process for the engineering blog.
Product Data Analyst
Turo, Inc.
- Designed executive dashboards, providing insights on complex processes to all-level audiences in the company.
- Developed an internal product to pull real-time contextual information to agents from Looker into Zendesk.
- Launched a trip self-rebooking tool to reduce the inbound ticket volume.
Experience
DNN Recommender System
I managed the whole model lifecycle, including:
• Pipeline and query to load data
• Exploratory data analysis
• Feature selection
• Model architecture design
• Model training and validation
• Serving recommendations using a Docker container and the TensorFlow Serving APIs
Education
Master's Degree in Management Engineering
Polytechnic University of Milan - Milan, Italy
Skills
Libraries/APIs
Scikit-learn, PyTorch, TensorFlow
Tools
Tableau, Domo, GitHub, Looker, Apache Airflow, Gensim, Amazon SageMaker, ZBrush
Languages
Python, SQL, Snowflake, Python 3, TypeScript
Platforms
Jupyter Notebook, Zendesk, MacOS, Mixpanel
Storage
Google Cloud
Frameworks
Unity, Unreal Engine 4
Paradigms
Management
Other
Statistics, Experimental Design, Machine Learning, Data Science, Data Analysis, Reports, Data Visualization, Data Analytics, Logistics, Econometrics, Geospatial Data, Geospatial Analytics, Data Build Tool (dbt), Engineering, Business Models, Digital Marketing, Recommendation Systems, Natural Language Processing (NLP), Computer Vision, Deep Neural Networks (DNNs), Data, EDA, Autodesk Maya, Mobile Games, Generative Pre-trained Transformers (GPT)
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