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Data Scientist Machine Learning Engineer

Resume posted by daia.alexandru in IT.

Desired position type: Any
Location: București Municipiul București, Romania

Contact daia.alexandru

Summary

Hello,
My name is Alexandru DAIA, I am a MACHINE Learning and Data Science Expert that is enthusiastic about data science in general and machine learning in particular with lots of years experience in this field.
I have strong training and certificates in this field, worked for local and foreing custommers in some projets , doing very well with machine learning libraries from R and PYTHON, xgboost , sklearn, good coding and data analysis skils.
I am interested to see if we could collaborate regarding your data science needs .
My main areas of expertis are:
-linear and non linear regression
-Deep learning models on GPU
-Data Science
-Machine Learning
-Deep Learning for extraction of new features
-Regression Taks
-Classification task
-Robust Ensembling of multiple models
-sklearn models , Random Forest , XGBoost , Support Vector Machine , Ridge Regression , Lasso Regression , GBM models ,
-Neural networ models , deep learning models , tensorflow , keras etc
-Building conversational chatbots .
-Optimization alghortims : scipy optimization methods and also implementing own genetic alghoritms
-Feature selection , Cross Validation , PCA , kernel density estimates , time series analysis ,
-Autoamatic methods for feature derivation
-One hot encoding, Python sparse matrixes for xgboost models
-Natural language processing , topic modelling and lots lots more

Tnks

Education

Hello,
My name is Alexandru DAIA, I am a MACHINE Learning and Data Science Expert that is enthusiastic about data science in general and machine learning in particular with lots of years experience in this field.
I have strong training and certificates in this field, worked for local and foreing custommers in some projets , doing very well with machine learning libraries from R and PYTHON, xgboost , sklearn, good coding and data analysis skils.
I am interested to see if we could collaborate regarding your data science needs .
My main areas of expertis are:
-linear and non linear regression
-Deep learning models on GPU
-Data Science
-Machine Learning
-Deep Learning for extraction of new features
-Regression Taks
-Classification task
-Robust Ensembling of multiple models
-sklearn models , Random Forest , XGBoost , Support Vector Machine , Ridge Regression , Lasso Regression , GBM models ,
-Neural networ models , deep learning models , tensorflow , keras etc
-Building conversational chatbots .
-Optimization alghortims : scipy optimization methods and also implementing own genetic alghoritms
-Feature selection , Cross Validation , PCA , kernel density estimates , time series analysis ,
-Autoamatic methods for feature derivation
-One hot encoding, Python sparse matrixes for xgboost models
-Natural language processing , topic modelling and lots lots more

Tnks

Experience

Hello,
My name is Alexandru DAIA, I am a MACHINE Learning and Data Science Expert that is enthusiastic about data science in general and machine learning in particular with lots of years experience in this field.
I have strong training and certificates in this field, worked for local and foreing custommers in some projets , doing very well with machine learning libraries from R and PYTHON, xgboost , sklearn, good coding and data analysis skils.
I am interested to see if we could collaborate regarding your data science needs .
My main areas of expertis are:
-linear and non linear regression
-Deep learning models on GPU
-Data Science
-Machine Learning
-Deep Learning for extraction of new features
-Regression Taks
-Classification task
-Robust Ensembling of multiple models
-sklearn models , Random Forest , XGBoost , Support Vector Machine , Ridge Regression , Lasso Regression , GBM models ,
-Neural networ models , deep learning models , tensorflow , keras etc
-Building conversational chatbots .
-Optimization alghortims : scipy optimization methods and also implementing own genetic alghoritms
-Feature selection , Cross Validation , PCA , kernel density estimates , time series analysis ,
-Autoamatic methods for feature derivation
-One hot encoding, Python sparse matrixes for xgboost models
-Natural language processing , topic modelling and lots lots more

Tnks

Skills

  • R
  • Python
  • Neural nets
  • CLustering
  • Genetic Algos
  • Keras neurl net
  • Feature engineering
  • Natural Laguag processing

Specialties

    Clustering, data analysis, Data Science, Feature Engineering, genetic algos, Keras, Machine Learning, Natural Language Processing, Neural Nets, Python, R, xgboost

Groups & Associations

    https://github.com/pymc-devs

Spoken Languages

    English (professional), French (Basic), Romanian