Data Analyst Quality Control

Sasan Raeissian

E-Mail: **********@*****.***

Cell-Phone: +1-514-***-****

Summary of qualifications

Professionally qualified statistician with strong programming background and analytical skills. Several years of experience in the field of data science including data mining, machine learning, predictive modeling and forecasting. Passionate about extracting knowledge from massive and unstructured data. Experienced with modern visualization and analytic software. Problem solver, self-motivated, fast learner, detail and result oriented. Areas of Expertise

Data Science

Machine Learning, Deep learning, Data Mining, Predictive Modeling, Advanced Analytics, Software Development.

Statistics

Outlier, Regression, Design of Experiment and Analysis of Variance, Multivariate Data, Likelihood Ratio and Statistical Significance, Time Series and Longitudinal Data, Categorical Data, Classification, Clustering. Computer Skills

Java, R, Python (Numpy, Panda, Scikit-Learn, Tensorflow, Theano, Torch, CNTK), SQL, SAS, Minitab, SPSS, MS Office, Open Office.

Work Experience

2016-Present Forecasting development specialist, Kronos Canadian System, Montreal. Use machine learning methods (Python, R) for predict sales and customers for optimizing workforce and develop these methods (Java) in Kronos applications. Reduced forecast error about 15% (MAPE).

2003-2011 Senior Data Analyst, Planning and Budgeting Department, Ferdowsi University of Mashhad, Iran. Use Random forest for classifying students and Holt-winters smoothing for budgeting (R, SPSS, SAS).

2000-2003 Quality Control Expert, Quality Control Department, Partlastic Company, Iran

(Minitab).

2008-2010 Invited lecturer in Payam-Noor University of Mashhad, Iran. Teach Quality control, Regression and Time series.

2005-2006 Computer Lab Lecturer, Regression, Time Series, Nonparametric Statistics, Probability, Payam-Noor University of Mashhad, Iran. Education

2012- 2015 Master’s Degree in Mathematical and computational Finance, Université de monréal.

2005-2007 Master’s Degree in Statistics, Ferdowsi University of Mashhad (Center of Excellence in Statistics, Iran) Evaluated in Quebec. Thesis title: Construction and Pruning Classification and Regression Trees.

1996-2000 Bachelor's Degree in Statistics, Ferdowsi University of Mashhad (Center of Excellence in Statistics, Iran), Evaluated in Quebec. (GPA 16.70 out of 20). Vocational Studies

2013 (4 months) Academic internship in computational machine learning. Prof. Dr. Vahid Partovi Nia. Solve several problem with machine learning methods

(Python).

2008 Data Mining Workshop, Trainer: Dimler Benz and University of Karlsrohe. Prof. Dr. Gholamreza Nakhaeizadeh. Practice several data mining methods. Language Skills

English, French, Persian.

References

Prof. Vahid Partovi Nia (*****.**********@*******.**), Département de mathématiques et Génie industriel, École Polytechnique de Montréal. Prof. Manuel Morales (*******@***.*********.**), Département de Mathématiques, Université de Montréal.

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