Jaakko Luttinen Email & Phone Number
@leanheat.com
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Who is Jaakko Luttinen? Overview
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Jaakko Luttinen is listed as Lead Data Scientist at Leanheat, a with 41 employees, based in Tampere, Pirkanmaa, Finland. AeroLeads shows a work email signal at leanheat.com and a matched LinkedIn profile for Jaakko Luttinen.
Jaakko Luttinen previously worked as Lead Data Scientist at Pandia Oy and PhD student at Aalto University. Jaakko Luttinen holds Doctor Of Science (Technology), Information And Computer Science from Aalto University.
Email format at Leanheat
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AeroLeads found 1 current-domain work email signal for Jaakko Luttinen. Compare company email patterns before reaching out.
About Jaakko Luttinen
Data scientist with expertise in Bayesian modelling.My focus has been in modelling datasets that are large and complex. Tasks of interest may include, for instance, predicting time series, reconstructing missing values, predicting user ratings/behaviour, learning complex dynamics, finding dependencies and other tasks that aim to learn from data.I have excellent skills in programming (e.g., Python, C/C++, Matlab) in general, and specifically in numerical and statistical methods. I am also familiar with parallel computing (e.g., OpenMP, MPI). I have also created an efficient open-source package BayesPy which can be used for advanced Bayesian modelling.
Listed skills include Bayesian Statistics, Machine Learning, Data Analysis, Time Series Analysis, and 26 others.
Jaakko Luttinen's current company
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Jaakko Luttinen work experience
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Lead Data Scientist
Phd Student
Writing PhD thesis about latent Gaussian models for spatio-temporal modelling.http://users.ics.aalto.fi/jluttine/
Research Assistant
Worked on combining Gaussian processes and state-space models for efficient inference.
Data Science Consultant
Colleagues at Leanheat
Other employees you can reach at leanheat.com. View company contacts for 41 employees →
Mauri Korkeala
Colleague at LeanheatHelsinki, Uusimaa, Finland
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AM
Antti Mäkinen
Colleague at LeanheatHelsinki, Uusimaa, Finland
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LL
Lin L.
Colleague at LeanheatVantaa, Uusimaa, Finland
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NL
Noora Luokkala
Colleague at LeanheatHelsinki, Uusimaa, Finland
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NL
Niko Lahti
Colleague at LeanheatHelsinki, Uusimaa, Finland
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EM
Eemil Marttila
Colleague at LeanheatFinland
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KB
Kimmo Bister
Colleague at LeanheatFinland
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JS
Jere Salmi
Colleague at LeanheatFinland
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LR
Lasse Rasinen
Colleague at LeanheatFinland
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VT
Viivi Tuominen
Colleague at LeanheatTurku, Southwest Finland, Finland
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Jaakko Luttinen education
Doctor Of Science (Technology), Information And Computer Science
Master Of Science (M.Sc.), Computer And Information Sciences
Education record
Education record
Frequently asked questions about Jaakko Luttinen
Quick answers generated from the profile data available on this page.
What company does Jaakko Luttinen work for?
Jaakko Luttinen works for Leanheat.
What is Jaakko Luttinen's role at Leanheat?
Jaakko Luttinen is listed as Lead Data Scientist at Leanheat.
What is Jaakko Luttinen's email address?
AeroLeads has found 1 work email signal at @leanheat.com for Jaakko Luttinen at Leanheat.
Where is Jaakko Luttinen based?
Jaakko Luttinen is based in Tampere, Pirkanmaa, Finland while working with Leanheat.
What companies has Jaakko Luttinen worked for?
Jaakko Luttinen has worked for Leanheat, Pandia Oy, Aalto University, Helsinki University Of Technology, and Self Employed.
Who are Jaakko Luttinen's colleagues at Leanheat?
Jaakko Luttinen's colleagues at Leanheat include Mauri Korkeala, Antti Mäkinen, Lin L., Noora Luokkala, and Niko Lahti.
How can I contact Jaakko Luttinen?
You can use AeroLeads to view verified contact signals for Jaakko Luttinen at Leanheat, including work email, phone, and LinkedIn data when available.
What schools did Jaakko Luttinen attend?
Jaakko Luttinen holds Doctor Of Science (Technology), Information And Computer Science from Aalto University.
What skills is Jaakko Luttinen known for?
Jaakko Luttinen is listed with skills including Bayesian Statistics, Machine Learning, Data Analysis, Time Series Analysis, Haskell, Predictive Modeling, Parallel Computing, and Big Data.
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