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DANIELE MINGOLLA

Daniele Mingolla

DATA SCIENTIST

I am a Data Scientist with a strong academic background in Computer Science and Data Science. I've worked in diverse industries, including mobile gaming, logistics, and food delivery, with renowned companies such as Socialpoint, Amazon, and Glovo.

Passionate about both the business and technical aspects, I excel in hybrid roles where I can create impactful solutions and contribute as an individual. Explore my projects, listen to my podcast, and connect with me for collaborations and opportunities.

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Projects

I am driven by a passion for data analysis, critical thinking, philosophy, and entrepreneurship, and I channel my knowledge and self-taught skills into personal projects that I diligently work on. For an updated compilation of my projects, you can explore my GitHub profile.

Topic Modelling using Bert and NMF

Applied BERT and NMF clustering to analyze a dataset containing feedbacks on a streaming service. Crafted an API in Flask for seamless interaction.

Welding Anomaly Detection System

A Welding Anomaly Detection system using unsupervised Machine Learning and statistical analysis to identify anomalies in welding process curves.

Parallel Pipeline for Analyzing Book Publishers’ Online Catalog

A pipeline to analyze data scraped from major Italian book publishers’ online catalogs to identify the most influential features of a book on the book’s price.

Predictive models for Sentiment Analysis on hotel reviews

Developed and compared the performance of different machine/deep learning models in predicting the sentiment of hotel and B&B reviews.

yLearner

yLearner is my podcast born from the desire to spread information on very important topics such as study method, time organization, personal finance and entrepreneurship by having experts speak and share their valuable insights.

ETF Investment Strategy

Utilizing the resources offered by JustETF, I monitor and evaluate my investment strategy, with the details of capital allocation outlined in the link provided.

Profile-Based Article Sharing Web Application

A web application where users can create a profile and write articles to share with other members of the community.