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+ Dimitri Lozeve - Archives
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+ Archives
+ Here you can find all my previous posts:
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+ Site proudly generated by
+ Hakyll
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+
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+ Dimitri Lozeve - Contact
+
+
+
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+ Contact
+
+E-mail
+dimitri+web@lozeve.com
+
+GitHub
+dlozeve
+
+LinkedIn
+Dimitri Lozeve
+
+StackOverflow
+dimitrilozeve
+
+Twitter
+DimitriLozeve
+
+
+
+
+
+ Site proudly generated by
+ Hakyll
+
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+
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+html{font-size:62.5%}body{font-size:1.6rem;color:#000}header{border-bottom:0.2rem solid #000}nav{text-align:right}nav a{font-size:1.8rem;font-weight:bold;color:black;text-decoration:none;text-transform:uppercase}footer{margin-top:3rem;padding:1.2rem 0;border-top:0.2rem solid #000;font-size:1.2rem;color:#555}h1{font-size:2.4rem}h2{font-size:2rem}article .header{font-size:1.4rem;font-style:italic;color:#555}.logo a{font-weight:bold;color:#000;text-decoration:none}@media (max-width:319px){body{width:90%;margin:0;padding:0 5%}header{margin:4.2rem 0}nav{margin:0 auto 3rem;text-align:center}footer{text-align:center}.logo{text-align:center;margin:1rem auto 3rem}.logo a{font-size:2.4rem}nav a{display:block;line-height:1.6}}@media (min-width:320px){body{width:90%;margin:0;padding:0 5%}header{margin:4.2rem 0}nav{margin:0 auto 3rem;text-align:center}footer{text-align:center}.logo{text-align:center;margin:1rem auto 3rem}.logo a{font-size:2.4rem}nav a{display:inline;margin:0 0.6rem}}@media (min-width:640px){body{width:60rem;margin:0 auto;padding:0}header{margin:0 0 3rem;padding:1.2rem 0}nav{margin:0;text-align:right}nav a{margin:0 0 0 1.2rem;display:inline}footer{text-align:right}.logo{margin:0;text-align:left}.logo a{float:left;font-size:1.8rem}}
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+ Dimitri Lozeve - Curriculum Vitæ
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+
+
+ Curriculum Vitæ
+ Work experience
+Destygo: R&D Data Scientist
+2018-present
+Sysnav: Real-time geolocalization algorithm on an embedded device
+March-August 2017
+
+mathematical modelling of the human walk
+step detection using artificial intelligence on inertial sensors data
+statistical methods for trajectory reconstruction
+Award: Best Research Internship 2017, from École polytechnique
+Outline of the confidential report (PDF, in French) and slides
+
+Natixis London Branch, Global Infrastructure and Projects: Intern Analyst
+June-August 2016
+Origination and execution of project finance transactions: offshore windfarms, hydroelectric dams, and a biomass power plant now under construction in northeastern England.
+French Engineering Corps: Army officer
+2014-2015
+Operation Sangaris: Military intervention in the Central African Republic.
+
+Instructor for new recruits for 4 months (around 30 soldiers)
+Security Officer during the building of a Bailey bridge in Bangui
+Participation in an intelligence gathering mission in the Northeastern part of the country
+French Republic Distinctions: Overseas Medal, National Defence Medal
+
+Education
+
+2017-2018
+
+Applied and computational statistics, statistical machine learning and statistical inference
+
+
+2014-2017
+
+Majors in Applied Mathematics and Data Science, Computer Science, and Physics
+Distinctions: Outstanding Investment, Outstanding Leadership
+
+Lycée Privé Sainte-Geneviève, Versailles: Preparatory classes to French Grandes Écoles
+2012-2014
+
+Majors in Mathematics and Physics
+
+Scientific projects
+Topological Data Analysis of time-dependent networks
+2018
+
+Master’s thesis, joint work with Oxford’s Department of Statistics and Mathematical Institute
+Application of the recent advances in Topological Data Analysis (TDA) and Persistent Homology to periodicity detection in temporal networks
+Dissertation
+
+
+2016-2017
+
+Comparison of the performance of state-of-the-art algorithms (theory and implementations)
+Application to large-scale, real-world social networks
+Dissertation (PDF, in French) and slides
+
+SERB X-CubeSat II program: a nano-satellite dedicated to Sun-Earth relationship
+2015-2016
+
+Research work on Markov Chains and Queuing Theory
+2013-2014
+
+Languages and skills
+Computer science
+Python:
+
+R:
+
+Statistical modelling and inference (generalised linear models, bayesian analysis)
+Data analysis: Tidyverse
+Network analysis: igraph
+
+C, Java: Embedded and network programming, scientific computing
+SQL: Basics
+Haskell, Lisp (Scheme): Hobby projects (N-body simulation , SAT solver , Advent of Code 2017 )
+Software: Git, GNU/Linux, LaTeX, Amazon AWS , MongoDB , Wolfram Mathematica , Microsoft Office
+See also a complete list of my skills in Statistics, Data Science and Machine Learning .
+Languages
+
+French
+English
+Basic German
+
+Sports
+
+Fencing
+vice-president of the 2016 X-SYSTRA International Fencing Challenge ; 29th in the 2016 sabre French Student Championships
+
+Scuba-diving
+CMAS * * *, 170+ dives
+
+
+
+
+
+ Site proudly generated by
+ Hakyll
+
+
+
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+
+
+
+
+
+
+ Dimitri Lozeve - Home
+
+
+
+
+
+
+ Home
+ Welcome
+
+
+
+Hi! I am a Data Scientist
+ at Destygo , working on making
+ chatbots smarter through Machine Learning.
+
+During my free time, I love tinkering with functional programming
+ languages for scientific simulations and with embedded development
+ and electronics.
+
+See my full CV.
+
+Recent Posts
+
+
+
+Find more in the archives .
+
+
+
+
+ Site proudly generated by
+ Hakyll
+
+
+
diff --git a/_site/skills.html b/_site/skills.html
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+ Dimitri Lozeve - Skills in Statistics, Data Science and Machine Learning
+
+
+
+
+
+
+ Skills in Statistics, Data Science and Machine Learning
+ Statistics
+
+Knowledge of Linear Models and Generalised Linear Models (including logistic regression), both in theory and in applications
+Classical Statistical inference (maximum likelihood estimation, method of moments, minimal variance unbiased estimators) and testing (including goodness of fit)
+Nonparametric statistics
+Bootstrap methods, hidden Markov models
+Knowledge of Bayesian Analysis techniques for inference and testing: Markov Chain Monte Carlo, Approximate Bayesian Computation, Reversible Jump MCMC
+Good knowledge of R for statistical modelling and plotting
+
+Data Analysis
+
+Experience with large datasets, for classification and regression
+Descriptive statistics, plotting (with dimensionality reduction)
+Data cleaning and formatting
+Experience with unstructured data coming directly from embedded sensors to a microcontroller
+Experience with large graph and network data
+Experience with live data from APIs
+Data analysis with Pandas, xarray (Python) and the tidyverse (R)
+Basic knowledge of SQL
+
+Graph and Network Analysis
+
+Research project on community detection and graph clustering (theory and implementation)
+Research project on Topological Data Analysis for time-dependent networks
+Random graph models
+Estimation in networks (Stein’s method for Normal and Poisson estimation)
+Network Analysis with NetworkX, graph-tool (Python) and igraph (R and Python)
+
+Time Series Analysis
+
+experience in analysing inertial sensors data (accelerometer, gyroscope, magnetometer), both in real-time and in post-processing
+use of statistical method for step detection, gait detection, and trajectory reconstruction
+Kalman filtering, Fourier and wavelet analysis
+Machine Learning methods applied to time series (decision trees, SVMs and Recurrent Neural Networks in particular)
+Experience with signal processing functions in Numpy and Scipy (Python)
+
+Machine Learning
+
+Experience in Dimensionality Reduction (PCA, MDS, Kernel PCA, Isomap, spectral clustering)
+Experience with the most common methods and techniques
+Random forests, SVMs, Neural Networks (including CNNs and RNNs), both theoretical knowledge and practical experience
+Bagging and boosting estimators
+Cross-validation
+Kernel methods, reproducing kernel Hilbert spaces, collaborative filtering, variational Bayes, Gaussian processes
+Machine Learning libraries: Scikit-Learn, PyTorch, TensorFlow, Keras
+
+Simulation
+
+Inversion, Transformation, Rejection, and Importance sampling
+Gibbs sampling
+Metropolis-Hastings
+Reversible jump MCMC
+Hidden Markov Models and Sequential Monte Carlo Methods
+
+
+
+
+ Site proudly generated by
+ Hakyll
+
+
+