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0
jobs
Machine learning specialist
Eugene
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
I offer machine learning, data science and model building service. Can give you extracts from your data. This can be time series analysis, categorisation or predictions -- anything you may need from data -- I would do my best.
Markets
United Kingdom
Language
English
Fluently
Lithuanian
Fluently
Russian
Fluently
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2019 - 2019
job
Assistant Director in Data Science
N/A.
The role involved building neural networks for M&A as well as managing a team of data scientist and engineers.
Technologies used: python (with OOP), numpy, scipy, scikit-learn, keras, tensorflow, pandas,
matplotlib, imblearn, tpot, pyspark, SQL, JSON, Microsoft Azure, DataBricks, MLFlow, regres-
sion models, neural networks.
Technologies used: python (with OOP), numpy, scipy, scikit-learn, keras, tensorflow, pandas,
matplotlib, imblearn, tpot, pyspark, SQL, JSON, Microsoft Azure, DataBricks, MLFlow, regres-
sion models, neural networks.
Sql, Python, Azure, JSON, Microsoft azure, Oop, M&A, Tensorflow, Neural networks, Keras, Science, Pyspark, Big Data, Machine learning, Data Science, Artificial Intelligence
2017 - 2018
job
Data Scientist
N/A.
The role involved:
• data pulling via API (e.g. from Google Analytics), from databases (SQL) or from supplied
files;
• data formatting with python (pandas) or R;
• main part: data (typically time series) analysis, mostly with applications of various Machine
Learning models;
• building Data Hub that now stores all the Company and clients' data, thus making analysis
process far easier (SQL, python, R);
• building configurable and executable packages of everything I've done;
• training junior Data Analysts.
Technologies used: python (with OOP), numpy, scipy, scikit-learn, pandas, matplotlib, seaborn,
tensorflow, pybrain, sqlalchemy, SQL, R, JSON, regression models, neural networks, Markov
models, geolocation.
• data pulling via API (e.g. from Google Analytics), from databases (SQL) or from supplied
files;
• data formatting with python (pandas) or R;
• main part: data (typically time series) analysis, mostly with applications of various Machine
Learning models;
• building Data Hub that now stores all the Company and clients' data, thus making analysis
process far easier (SQL, python, R);
• building configurable and executable packages of everything I've done;
• training junior Data Analysts.
Technologies used: python (with OOP), numpy, scipy, scikit-learn, pandas, matplotlib, seaborn,
tensorflow, pybrain, sqlalchemy, SQL, R, JSON, regression models, neural networks, Markov
models, geolocation.
Sql, Python, Google analytics, API, JSON, Training, R, Oop, Analytics, Tensorflow, Neural networks, Machine learning, Data Science, Artificial Intelligence, Deep learning
My education
2012
-
2016
Royal Holloway University of London
Doctorate, Thesis title
Doctorate, Thesis title
2008
-
2012
University of Manchester
MPhys in Physics with Theoretical Physics, Theoretical Physics
MPhys in Physics with Theoretical Physics, Theoretical Physics
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