Claudio Fanconi
Location
Zürich
Field of Study
Information Technology & Electrical Engineering
Expertise
Machine Learning & Data Science
About
MSc Student in Electrical Engineering
I am a Master candidate at ETH Zurich (Swiss Federal Institute of Technology) in Information Technology and Electrical Engineering (EEIT). I have a strong interest in data science, computer vision and machine learning. Recently, I interned as a machine learning engineer at IBM and as a management consultant / data scientist at McKinsey & Company. As a small entrepreneurial side-project of mine, I prototyped a Java-based computer vision app for Android. The goal is to classify skin moles as benign or malignant. You can have a look at the source code here: https://github.com/fanconic/dermAI.
Skills
Computer Vision
Data Science
Deduplication
Machine Learning
Management Consulting
Natural Language Processing
Open for
internship
mentoring
cofounder
shadowing
Work Experience
McKinsey & Company
2020-06 - 2020-08
Management Consultant Intern
Zürich
internship
- Data scientist engagement for an algorithmic pricing engine in the retail & consumer industry - Product development engagement in the house-hold/cosmetics industry
IBM
2019-10 - 2020-03
Machine Learning Engineer Intern
Böblingen, Germany
internship
- Prototyped an end-to-end duplicate matching engine based on Siamese neural networks - Implemented a hierarchical clustering algorithm for faster nearest neighbour search in large datasets - Implemented a data extraction tool in Java for the IBM Master Data Management product - Coinvented and submitted 10 patent-drafts, currently 5 are filed and 5 are currently under review
BlueOrchard Finance SA
2016-06 - 2016-07
Business Development Intern
Zürich
internship
- Researched and analyzed markets across Europe and Australia for new business opportunities - Created competitor analysis and prepared documents for pitches and due diligence
Rahn + Bodmer Co.
2016-04 - 2016-05
Financial Analyst Intern
Zürich
internship
- Researched securities of Swiss public traded companies for portfolio management - Assisted the stock exchange analysts
Academic Experience
ETH Zurich -
2016.09 - 2019.08
Bachelor of Science, BSc in Electrical Engineering and Information Technology
ETH Zurich -
2020.09 - 2022.08
Master of Science, MSc in Electrical Engineering and Information Technology