Sean Diacono

Data Scientist focused on building intelligent products and solving complex problems

Rabat, Malta, CET

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About

Experienced data scientist with 2 years of applied machine learning expertise. Proven ability to develop innovative AI solutions such as chatbots using large language models, and computer vision for autonomous drones. Excellent communicator adept at collaborating across teams. Passionate about leveraging AI/ML to solve complex data challenges and drive tangible business impact.

Work Experience

Leadzai
Remote

2022 - Now

Data Scientist

I develop and implement machine learning models to evaluate the performance of large language models (LLMs) and improve the performance of online campaign. I also conducted an optimization process that accelerated our automatic ad creation process by 50%

Ascent
Remote

2021 - 2021

Software Engineer Intern

As part of a scrum team, delivered a web portal for a postal industry client, implementing a .NET and SQL Server solution to track audit changes from a database.

University of Malta - Memento Project

2020 - 2020

Software Engineer Intern

Collaborated on designing and building a high frame rate camera, developing its graphical user interface using C++ and Qt.

PwC

2019 - 2019

IT Consultant Intern

Annotated drone imagery for road damage detection and automated data transfers using QGIS and VBA.

Education

Stockholm University

2021 - 2022
Masters's Degree in Artificial Intelligence

University of Malta

2018 - 2021
Bachelor's Degree in Artificial Intelligence

Skills

Python
SQL
Machine Learning
Data Analysis
Vertex AI
OpenAI
Heroku

Projects

Tableo Assistant

A chatbot assistant for restaurants to handle reservations and client queries

Python
Flask
Heroku
OpenAI
Postgres
Redis

Emoji Prediction

I trained a Bidirectional LSTM model on a dataset of 500k tweets to predict the most appropriate emoji for a given tweet.

Python
NLP
Tensorflow
Keras

Road Objects Detection

Trained YOLOv4 and Mask R-CNN models using Keras on a supervised dataset achieving a Mean Average Precision of 74%

Python
Computer Vision
OpenCV
Tensorflow
Keras

Master's Thesis

I worked with a data scientist at Spotify to investigate the application of segmentation algorithms and deep-learning summarization models on a dataset of 100k podcast transcripts

Spotify
Python
HuggingFace

Bachelor's Thesis

Trained two semantic segmentation models using PyTorch on a dataset of annotated aerial images to detect safe landing zones for a drone

Computer Vision
Python
OpenCV
PyTorch