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Luca Iuzzolino

Luca Iuzzolino

Senior Analyst

Merck

Technologies

My Portfolio Highlights

My New Project

Exploring NYC Public School Test Result Scores

My New Course

Introduction to Python

My New Project

Exploring NYC Public School Test Result Scores

Data virtuoso, playing the strings of information to create harmonious insights.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Introduction to Statistics in Python

My Work Experience

Where I've interned and worked during my career.

Merck | Jan 2023 - Present

Associate Principal Scientist

N/A

Merck | Oct 2020 - Jan 2023

Senior Scientist

N/A

MSD | Apr 2019 - Oct 2020

Senior Scientist

N/A

Faculty | Jan 2019 - Mar 2019

Data Science Fellow

Alumnus of the highly competitive and intensive 13th Data Science Fellowship at Faculty (formerly ASI Data Science). Undertook several technical courses on programming, supervised and unsupervised machine learning, reinforcement learning, statistics, model deployment, SQL and no-SQL databases and NLP, as well as training aimed at improving the soft skills that are fundamental in a business environment. As part of the Fellowship I undertook a 6-week placement at Infinity International, the results of which were presented to broad audience at the Faculty Data Science Demo Day.
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Infinity International Limited | Jan 2019 - Mar 2019

Data Scientist

As part of the Faculty Data Science Fellowship, I undertook a data science project that involved the extraction and analysis of data, both from internal and external sources, and the tuning and application of a variety of machine learning models. The final result was a classification algorithm predicting the likelihood a business company will bring high value if acquired as a customer.

UCL | Oct 2015 - Dec 2018

Teaching Assistant

I have used my subject knowledge to help the delivery of seminars and tutorials to undergraduate students, as well as to aid their laboratory work and marking their coursework and lab-reports.

UCL | Sep 2015 - Dec 2018

PHD Candidate

In my PhD I have developed new methods to expand crystal structure prediction studies to large and flexible molecules of pharmaceutical interest. I have achieved this by leveraging statistical data and developing new workflows aimed at reducing the computational cost of these studies without sacrificing accuracy and by enhancing the analysis of the results.

Purdue University | Jun 2013 - Sep 2013

Summer Intern

I undertook a project aimed at developing an advanced computational to introduce quantified uncertainties in molecular dynamics simulations.

My Education

Take a look at my formal education

Master of Research - MRes, Materials Modelling and Materials ScienceUCL | 2015
Master of Engineering - MEng, Materials Science and EngineeringImperial College London | 2014

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