Assistant Data

Rasoul Baharifard

Personal Information

Address: **** - ** ********* ***, ***** York, ON M2N 7K2

Phone: +01-416-***-****

email: *.**********@*****.***

email: ***********.**********.*@******.**

Linkedin: https://ca.linkedin.com/in/rasoulbahari

Work Experience & Relevant Skills

Jan. 2011 - Apr. 2015 Math/Stat Teacher Assistant & Research Assistant Department of Mathematics & Statistics, Laval University

Teaching calculus and probability to undergrad student

Assisted student with learning disabilities in Mathematics & Statistics

Developed exam material for student gradings and assessments

Strong theoretical knowledge and practical understanding of statistical analysis and data mining techniques

Speci c experience implementing machine learning techniques such as regres- sion, discriminant analysis, K-Means, PCA, SVM and Dimensionality Reduc- tion

Excellent quantitative analytical skills including creating of the work plan, analysis, validation, interpretation and presentation of the predictive models tted to a large data set

Strong knowledge of tting the predictive models such as logistic regression, decision trees, neural networks and support vector machines to a churn or a direct mail data set and assess them by using some criteria such as gain, lift, pro t and ROC

Experienced in deployment of marketing campaigns and initiatives to maxi- mize revenue growth and provide superior customer experience through rele- vant and timely o ers, while capturing full potential of the client’s prospect data

Strong SQL, SAS and R programming skills (including MySQL, SAS Enter- prise Miner and SAS Enterprise Guide)

Experienced in the Microsoft o ce software including Excel, Access, Word and PowerPoint

Sept. 2010 - Dec. 2013 Research Assistant, Department of Mathematics & Statistics Di erential Geometry, Lie Groups & Lie Algebras, Representation Theory Education

Jan. 2014 - Aug. 2015 Master’s degree in Statistics, Laval University, Quebec, Canada. Courses: Frequency Tables, Linear Regressions, Statistics Mathematics, Data Mining and Big Data.

Attending student at University of Toronto May - Aug. 2014, Courses: Simple linear regressions, Sampling, Time series. Attending student at HEC Montreal University, Jan. - Apr. 2015 Course: Data Mining & Exploration The Data.

Major: Data Mining

Thesis: \Assessing The Predictive Models Fitted To a Direct Mail Campaign Data Set

Research Advisor: Prof. T. Duchesne & Prof. A. Charest Sept. 2006 - Jan. 2009 Master’s degree in Mathematics, IUT, Isfahan, Iran Major: Di erential Geometry

Thesis: \Second order Hessian structures on Frechet manifolds" Research Advisor: Prof. Mansour Aghasi

Sept. 2002 - July. 2006 Bachelor’s degree in Mathematics Chamran University of Ahvaz, Ahvaz, Iran

Gpa: 16.20/20

Publications

M. Aghasi, A.R. Bahari, C.T.J. Dodson, G.N. Galanis and A. Suri, 2008 \Second order structures for sprays and connections on Frechet manifolds".

M. Aghasi, A.R. Bahari and A. Suri, 2011 \Higher order Hessian structures on Frechet manifolds". Di erential Geometry - Dynamica Systems, Balkan Society of Geometers, 13:1-18.

Honors And Awards

2006 - 2007 First rank among Geometry graduate students, Department of Mathematics, IUT, Isfahan, Iran.

2005 - 2006 Second rank among undergraduate Mathematics students, Department of Mathematics, Chamran University, Ahwaz, Iran. 2006 Representative of Chamran University of Ahvaz, Nationwide Undergraduate Mathematics Competition

2005 Representative of Chamran University of Ahvaz, Nationwide Undergraduate Mathematics Competition

Language

English: Fluent

French: Fluent

Interests and Activities

Data Analyst

Business Analyst

Business Intelligence

Data Scientist

Financial Analyst

SAS developer

Statistician Consultant

Academic and Professional References

Prof. Thierry Duchesne, Associate Professor In Statistics, Department of Mathemat- ics & Statistics, Laval University, Quebec, Canada. *******.*********@***.******.**

Prof. Anne-Sophie Charest, Assistant professor In Statistics, Department of Mathe- matics & Statistics, Laval University, Quebec, Canada. ****-******.*******@***.******.**

Prof. Khader Khadraoui, Associate professor In Statistics, Department of Mathe- matics & Statistics, Laval University, Quebec, Canada. ******.*********@***.******.**

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