Data scientist, Machine Learning ENgineer

ID #*******

ALEXANDRU DAIA

Data scientist-project based /remote /freelance - vdatalab

Age 30 from Bucuresti, not married

Contact details

Email: ***************@******.*** Tel: 076*******

Address: Drumul Taberi 34

Professional objective

Interested in various data science /machine learning projects Professional experience

Experience by

departments

IT Software : 4 years and 9 months

Engineering : 3 years and 2 months

Jan 2014 - present Data scientist-project based /remote /freelance - vdatalab 3 years and 4 months Bucharest IT Software IT / Telecom Implementing various solutions regarding machine learning projects. I could mention some but not least : implementing genetic alghoritms, loan default predictions, natural language processing projects, persistence machine learning models, conversational chat bot based on recurrent neural networl, machine learning models for airport passangers prediction and much more. Acquired skills and knowledge:

data analysis, Python, clustering, regression, machine learning, classification, h2o, R, deep learning, Ensemble methods

Dec 2010 - Jan 2014 Mathematician - Hidroelctrica

3 years and 2 months Bucharest Engineering Energy Various projects regarding mathematical computation, energy trading, implementing metrics for energy supply/demand metrics .

Various statistical reports

Aug 2008 - Jan 2010 programmer-it support - icemenerg 1 year and 6 months Bucharest IT Software IT / Telecom Implementing financial application and intranet platform in c#, sql . It support for over 150 stations

Acquired skills and knowledge:

C#, SQL

Education

2005 - 2008 College / Bachelor's degree - University of Bucharest www.ejobs.ro

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CV Alexandru Daia Pag. 1/3

Mathematics and Computer Science Bucharest

Skills

General skills

R, Python, machine learning, regression, classification, correlation analysis, deep learning, h20, scikit learn, feature selection, mutual information, feature reduction, feature expansion, data analysys, feature engineering, Keras Skills from work experience

data analysis, Python, clustering, regression, machine learning, classification, h2o, R, deep learning, Ensemble methods, C#, SQL

Foreign languages

English - Medium, French - Beginner

Other info

Projects

kaggle

period Jan 2017 - Apr 2017

Rossmann Store Sales project competition :

https://www.kaggle.com/c/rossmann-store-sales

Top 3% from over 3k competitors . Silver medal received Grupo Bimbo Inventory Demand project competition

https://www.kaggle.com/c/grupo-bimbo-inventory-demand Top 8% from nearly 2 k competitiors . Bronze medal received BNP PARIBAS Cardif Claims Management project competion https://www.kaggle.com/c/bnp-paribas-cardif-claims-management Top 7% from nearly 3k competitors . Bronze medal received . Sample code here :

https://github.com/alexandrudaia

Researching testing and implementing data science,, things '' based on Octav Onicescu information energy : 1) https://alexandrudaia.quora.com/Kinetic-things-by-Daia-Alexandru 2)Onicescu correlation coefficient based on kinetic energy on the manifold the random vectors live https://alexandrudaia.quora.com/Onicescu-correlation-coefficient-Python-Alexandru-Daia 3)Implementing modified Principal Component Analysis for creating new features, replacing usual PCA Pearson or covariance matrix with correlation matrix resulted from Onicescu correlation Coefficient : https://alexandrudaia.quora.com/PCA-with-kinetic-correlation-matrix-from-kinetic-energy-PART-1 4) In progress :

Cuda implementation of real knn with kinetic correlation instead of euclidean distance : https://alexandrudaia.quora.com/Knn-in-c++-with-kinetic-correlation-replacing-euclidean-distance-for-Image-processing Prizes and Distinctions

Kaggle competitions 2 bronze medals, 1 silver medal acquired on Aug 2016

Certifications

www.ejobs.ro

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CV Alexandru Daia Pag. 2/3

Coursera, Edx, Udacity

period Jan 2012 - Jan 2017

Various Certifications and Statements of Accomplishment most of them in data science machine learning field: 1)Machine Learning : Stanford University graded 100% 2)Getting and Cleaning Data :Johns Hopkins University 3)The Data Scientist Toolbox :Johns Hopkins University 4)Exploratory Data Analysis: Johns Hopkins University 5)Practical Machine Learning : Johns Hopkins University 6) Web Intelligence and big data : Indian Institute of Technology Delhi 7)Computational Investing, Part I :Georgia Institute of Technology 8) Computing for Data Analysis:Johns Hopkins University 9) Heterogeneous Parallel Programming: University of Illinois at Urbana-Champaign 10) Intro to Computational Thinking and Data Science : MITx 11)Data Science and Machine Learning Essentials : Microsoft 12) Python for web data - Coursera - University of Michigan Sample projects and my open research in creating improved machine learning models and automatic feature derivation could be found on github :

https://github.com/alexandrudaia

Desired job

Job type Career level Desired salary

Full time, Part time, Project Based,

Temporary

MID-LEVEL Unspecified

Desired city Desired job's department Desired industry Bucharest - -

www.ejobs.ro

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CV Alexandru Daia Pag. 3/3

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