Italo D'Amato, Developer in London, United Kingdom
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Italo D'Amato

Verified Expert  in Engineering

Data Scientist and Developer

Location
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

Dapper Labs
Data, Python, SQL, Machine Learning, Data Build Tool (dbt), Mobile Games...
Deliveroo
Python, SQL, Experimental Design, Statistics, Logistics, Econometrics...
Depop
SQL, Looker, Experimental Design, Machine Learning, Python 3, Scikit-learn...

Experience

Availability

Part-time

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

2022 - PRESENT
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.
Technologies: Data, Python, SQL, Machine Learning, Data Build Tool (dbt), Mobile Games, PyTorch, Google Cloud, TypeScript

Data Scientist II – Algorithms

2021 - 2022
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.
Technologies: Python, SQL, Experimental Design, Statistics, Logistics, Econometrics, Geospatial Data, Geospatial Analytics, Jupyter Notebook, Snowflake, Python 3, Scikit-learn, Data Science, Data Analysis, Reports, Data Visualization, Data Analytics

Senior Product Analyst

2020 - 2021
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.
Technologies: SQL, Looker, Experimental Design, Machine Learning, Python 3, Scikit-learn, Data Science, Data Analysis, Reports, Data Visualization, Data Analytics

Product Data Analyst

2018 - 2020
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.
Technologies: SQL, Looker, Domo, Zendesk, Python 3, Scikit-learn, Data Analysis, Reports, Data Visualization, Data Analytics

DNN Recommender System

A recommender system for social media posts powered by a deep neural network using the TensorFlow Recommenders (TFRS) library. The recommendations are generated based on inputs in different formats, including free text information parsed with natural language processing (NLP) techniques and fastText embeddings—continued training using gensim; image information classified according to user levels.

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
2016 - 2018

Master's Degree in Management Engineering

Polytechnic University of Milan - Milan, Italy

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

Paradigms

Data Science, Management

Frameworks

Unity, Unreal Engine 4

Storage

Google Cloud

Other

Statistics, Experimental Design, Machine Learning, 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, Data, EDA, Autodesk Maya, Mobile Games, Generative Pre-trained Transformers (GPT)

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