About me

MSc Data Science graduate with four years of experience using data to solve real-world problems and helping businesses become more profitable.

Projects I have worked on include: pipeline orchestration, music generation (GenAI), shipment classification, sales forecasting, system automation, duplicates identification, berth scheduling, recommender systems, model evaluation, dashboard design, price and rating prediction, sentiment analysis, etc.

Portfolio (inverse chronological order)
Featured projects

Sales Time Series Forecasting

Dec 2021 ~ MSc course "Applied Forecasting in Complex Systems"

Forecasted daily sales for 28 days in the future of 823 products sold in a Walmart store

Automation of Engagement System

Jan 2021 ~ OMRON Healthcare Europe

With the release of the Hypertension Plus app, OMRON Healthcare wanted to raise the engagement among users by keeping track of specific groups of patients, such as the ones who have not accessed their account in the last week or the ones who have not completed their blood pressure measurements, and targeting them with email reminders

Berth Allocation Problem within Port of Amsterdam

Jun 2020 ~ Port of Amsterdam

Port of Amsterdam demanded to know if giving up the current First Come, First Served strategy of assigning vessels to berths would produce any benefits, especially after the new sea lock will be ready and (more) larger ships will be allowed to moor in the harbor


All projects

Exchange Rates Ingestion Pipeline

Jan 2024 ~ Flo Energy

Orchestrated a pipeline that retrieves the latest exchange rates through an API, loads them first into an Amazon S3 bucket and then into a Snowflake table

Text-to-Event LLM App

Oct 2023

Engineered a web application that reads text and outputs an event in .ics format, using Streamlit, LangChain, and OpenAI API

Ranking Hotel Listings on Expedia

May 2022 ~ MSc Course "Data Mining Techniques"

Ranked hotel listings based on their likelihood of being booked, obtaining an NDCG@5 over two times as good as the random baseline ranking

Duplicates Identification

Mar 2022 ~ MSc Course "Big Data"

Designed and implemented a scalable Machine Learning pipeline that identifies duplicate entries in a bibliography with 82% accuracy

Caged Shipments Prediction

Jan 2022 ~ FedEx Express

Developed a LightGBM model for classifying whether a shipment will be caged (secured until the correct information is obtained)

Sales Time Series Forecasting

Dec 2021 ~ MSc course "Applied Forecasting in Complex Systems"

Forecasted daily sales for 28 days in the future of 823 products sold in a Walmart store

Dashboard Hypertension Plus

Mar 2021 ~ OMRON Healthcare Europe

Hypertension Plus is an app meant to reduce the friction between patients with hypertension and their physicians with the help of blood pressure home monitoring. To measure the performance of the app and gather actionable insights, a dashboard depicting critical metrics was designed

Automation of Engagement System

Jan 2021 ~ OMRON Healthcare Europe

With the release of the Hypertension Plus app, OMRON Healthcare wanted to raise the engagement among users by keeping track of specific groups of patients, such as the ones who have not accessed their account in the last week or the ones who have not completed their blood pressure measurements, and targeting them with email reminders

Berth Allocation Problem within Port of Amsterdam

Jun 2020 ~ Port of Amsterdam

Port of Amsterdam demanded to know if giving up the current First Come, First Served strategy of assigning vessels to berths would produce any benefits, especially after the new sea lock will be ready and (more) larger ships will be allowed to moor in the harbor

  • Address

    Amsterdam, the Netherlands