ALEXANDRU DAIA
Data scientist-project based /remote /freelance - vdatalab
Age 31 from Bucuresti, not married
Contact details
Email:-
Tel:-
Address: Drumul Taberi 34
Professional objective
Interested in various data science /machine learning projects
Professional experience
Experience by
IT Software : 5 years and 2 months
departments
Engineering : 3 years and 2 months
Jan 2014 - present
Data scientist-project based /remote /freelance - vdatalab
3 years and 8 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.
Implementing various solutions regarding machine learning projects.
Some sample
projects from my clients in the last 2 months:
Plan Brothers / Help in NLP / text classification with neural networks in Keras & Python
UV CONCEPTS /Create a Forecast For Business
Store Analytics UG / Fundamental implementation of a smart sales analytics tool
Cadmus B.V. / Data Scientist for email prioritization
Store Analytics UG / Fundamental implementation of a smart sales analytics tool
QiPoint / Machine Learning / AI Scientist and Developers Needed
Marco Antunes / Python or R programming for Data Science / Machine Learning
intellcodeshadowone.com / EXPERT IN NEURAL NETWORKS /LSTM RECURENT NN
Wholistic Pet / Data mine emails from a website
Noora Stewart / Need help in report
ZMCO / Harvesting blogs
John Stewart / analyzing monthly data using deep learning
John Stewart / Need help in deep learning
www.ejobs.ro-
CV Alexandru Daia | Pag. 1/3
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
It support for over 150 stations
in c# , sql .
Acquired skills and knowledge:
C#, SQL
Education
2005 - 2008
Bachelor's degree - University of Bucharest
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 .
www.ejobs.ro-
CV Alexandru Daia | Pag. 2/3
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
https://alexandrudaia.quora.com/Onicescu-correlation-coefficient-Python-Alexandru-Daia
vectors live
3)Implementing modified Principal Component Analysis for creating new features , replacing usual PCA
matrix with correlation matrix resulted from Onicescu correlation Coefficient :
https://alexandrudaia.quora.com/PCA-with-kinetic-correlation-matrix-from-kinetic-energy-PART-1
Pearson or covariance
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
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
www.ejobs.ro-
CV Alexandru Daia | Pag. 3/3