Arnaud Leredde Email & Phone Number
@faculty.ai
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Who is Arnaud Leredde? Overview
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Arnaud Leredde is listed as Senior Data Scientist at Faculty, a company with 923 employees, based in London Area, United Kingdom, United Kingdom. AeroLeads shows a work email signal at faculty.ai and a matched LinkedIn profile for Arnaud Leredde.
Arnaud Leredde previously worked as Data Scientist at Faculty and Data Scientist Freelance at Freelance. Arnaud Leredde holds Master 2 (M2), Nuclear Physics from Université De Caen Normandie.
Email format at Faculty
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About Arnaud Leredde
After getting a PhD in physics in 2012 and working in academic research for 7 years, I am now turning my attention towards the industry world. Equipped with strong skills in communication, project management and research grade curiosity, I recently taught myself data science and machine learning techniques. My physics background and the associated math knowledge helped me become familiar with the algorithms quickly. I am now looking for a position where I will have the opportunity to apply my newly acquired skills but maybe even more importantly have the chance to keep learning. Getting out of my comfort zone and challenging myself is what I enjoy the most to constantly improve. After jumping from atomic to nuclear and particle physics and living abroad, I am feeling more and more confident for the next challenge!
Arnaud Leredde's current company
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Arnaud Leredde work experience
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Data Scientist
CurrentData Scientist Freelance
Working on projects ranging from data analysis and reporting to the development of POC involving Deep Learning (NLP and CV).
Science To Data Science
S2DS is a 5-week data science bootcamp helping analytical PhDs transition from academia to industry. Fellows accepted into the program learn via hands-on projects, and work in groups to complete real-life big data problems. The curriculum also includes 30 hours of lectures on topics such as professional development and business skills, designed to help.
Data Science Competition
Bike sharing demand (Kaggle competition): Top 5% best Machine Learning AlgorithmThe goal of this competition is to predict the demand for a bike sharing program (regression task). The solution I developed involved: - Exploratory Data Analysis (EDA) - Data cleaning and Data selection / Data engineering (creating new features) - Data preparation for ML.
Data Scientist
Working on various case studies and self-teaching data science and machine learning.Case studies: - Black Friday sales: Perform exploratory data analysis to improve customer behavior understanding. Import, clean and prepare the data for machine learning algorithms. Develop algorithms Random Forest, Gradient Boosting, Neural Network) to predict future sales.
Chercheur Postdoctoral
Electric dipole moments of elementary particles are of great interest in modern Physics to search for T-violating processes that could help us understand the matter/anti-matter asymmetry in our Universe. The neutron EDM has been studied for over 50 years with a sensitivity improvement of 7 orders of magnitudes and is still consistent with the Standard.
Chercheur Postdoctoral
Correlation coefficients in nuclear beta decay are interesting probes for new physics such as tensor-/scalar-like interactions and T-violating interactions. The beta-neutrino angular correlation in the Helium-6 beta decay is sensitive to new tensor-like contributions to the weak interaction. As a postdoctoral researcher for Argonne National Laboratory, I.
Chercheur Doctorant
Ion-atom interactions play an important role in areas ranging from tumor treatment to plasma physics and astrophysics. Using ultra-cold atomic targets, provided by a magneto-optical trap, and low energy ions allows to precisely study these interactions and provide stringent tests of theoretical calculations. During my PhD, I worked on the simulation of the.
Lecturer
Teaching applied physics to undergrad students at the University of Caen (Mechanics, waves, electronics, optics).Teaching applied nuclear physics to engineer students from the ESIX school (Alpha, beta, gamma and X-ray spectroscopy).
Colleagues at Faculty
Other employees you can reach at faculty.ai. View company contacts for 923 employees →
Greg Jackson
Colleague at Faculty
London, England, United Kingdom, United Kingdom
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SI
Sanja Ivanović
Colleague at Faculty
Zagreb, Zagreb, Croatia, Croatia
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TW
Thais Warren
Colleague at Faculty
London, England, United Kingdom, United Kingdom
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RP
Reneé Pereyra-Elías, Md, Dphil(Oxon)
Colleague at Faculty
London, England, United Kingdom, United Kingdom
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TP
Thomas Pagel
Colleague at Faculty
London, England, United Kingdom, United Kingdom
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KI
Khushbakht Irfanullah
Colleague at Faculty
London, England, United Kingdom, United Kingdom
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JS
Júlia Sala Bayo, Phd
Colleague at Faculty
London, England, United Kingdom, United Kingdom
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AZ
Azer Zeynalov
Colleague at Faculty
Baku, Baku Ekonomic Zone, Azerbaijan, Azerbaijan
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AJ
Asma Jemmali
Colleague at Faculty
Tunis, Tunis, Tunisia, Tunisia
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AE
Ahmed Elbrieary
Colleague at Faculty
Asyūţ, Asyut, Egypt, Egypt
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Arnaud Leredde education
Frequently asked questions about Arnaud Leredde
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What company does Arnaud Leredde work for?
Arnaud Leredde works for Faculty.
What is Arnaud Leredde's role at Faculty?
Arnaud Leredde is listed as Senior Data Scientist at Faculty.
What is Arnaud Leredde's email address?
AeroLeads has found 1 work email signal at @faculty.ai for Arnaud Leredde at Faculty.
Where is Arnaud Leredde based?
Arnaud Leredde is based in London Area, United Kingdom, United Kingdom while working with Faculty.
What companies has Arnaud Leredde worked for?
Arnaud Leredde has worked for Faculty, Freelance, Science To Data Science, Self, and Laboratoire De Physique Subatomique Et De Cosmologie (Lpsc).
Who are Arnaud Leredde's colleagues at Faculty?
Arnaud Leredde's colleagues at Faculty include Greg Jackson, Sanja Ivanović, Thais Warren, Reneé Pereyra-Elías, Md, Dphil(Oxon), and Thomas Pagel.
How can I contact Arnaud Leredde?
You can use AeroLeads to view verified contact signals for Arnaud Leredde at Faculty, including work email, phone, and LinkedIn data when available.
What schools did Arnaud Leredde attend?
Arnaud Leredde holds Master 2 (M2), Nuclear Physics from Université De Caen Normandie.
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