Zeinab Hajiabotorabi
Toronto,ON
Summary
Highly skilled Data Science Analyst with a strong background in applied mathematics and extensive research experience. Seeking a challenging role to leverage analytical, machine learning, and deep learning skills to drive data-driven decision-making and solve complex problems in a dynamic professional environment.
Overview
12
12
years of professional experience
1
1
Certification
Work History
Ph.D. Visiting Student Researcher
University of Calgary-Computer science Department
Calgary, Alberta (AB)
07.2019 - 04.2020
- Developed models based on research data, adjusting to improve accuracy of predictions.
- In this Mitacs program, it is desigened a multi-factor wavelet-based deep recurrent neural network (Multi-WRNN) model for more accurate pricing of the crude oil future market. This model is capable of including several key factors (e.g. stock-change and refinery capacity utilization rate) flexibly. The Multi-WRNN model enables us to classify the time series of the key factors into stationary and non-stationary. Also, the model provides a dynamical system for predicting the variation mean, volatility, and value of non-stationary key factors which have high influences on market in crisis time, and consequently, can be applied in pricing of the crude oil market.
Robotics Workshop Supervisor
Payame Noor University
Yazd, Iran
09.2015 - 09.2016
- Directed and supervised team of 10 students in daily operations.
- Provided guidance and support to staff in use of tools, equipment, and materials.
Assistant Professor
Payame Noor University
Yazd, Iran
04.2009 - 12.2010
- Algorithm designing for solving sensitive equation systems via optimization genetic methods which repeatedly modifies a population of solution
Assistant Professor
Payame Noor University
Yazd, Iran
10.2008 - 10.2009
- Conducted research projects, wrote manuscripts, and presented findings at professional conferences.
- Solved big linear equation systems via Genetic algorithms
Education
Ph.D. - Applied Mathematics/ Differential Equations
Yazd University
Yazd, Iran08.2021
Master of Science - Applied Mathematics/ Numerical Analysis
Yazd University
Yazd, Iran02.2004
Bachelor of Science - Applied Mathematics
Shahid Beheshti University
Tehran, Iran08.2002
Skills
- Programming Languages: Python
- Machine Learning: Scikit-Learn
- Deep Learning: Keras, TensorFlow
- Data Analysis: NumPy, Pandas, SciPy
- Visualization: Matplotlib, Seaborn
- Database: MySQL
- Statistical Analysis: Eviews
- Problem Solving
- Academic Research
- Team worker
Accomplishments
Journal Papers:
- Zeinab Hajiabotorabi, Aliyeh Kazemi, Faramarz Famil Samavati, & Farid Mohammad Maalek Ghaini (2019). Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series. Expert Systems with Applications, 138, 112842. (https://doi.org/10.1016/j.eswa.2019.112842)
- Zeinab Hajiabotorabi, Faramarz Famil Samavati, Farid Mohammad Maalek Ghaini & Akbar Shahmoradi (2021). Multi-WRNN model for pricing the crude oil futures market. Expert Systems with Applications, 182, 115229. (https://doi.org/10.1016/j.eswa.2021.115229)
Research Papers & Conferences:
- Presented "An Improved method for solving the general system of equations via Genetic algorithms" at the International Conference on Analysis and Applications (ICAA_11), November 19-21, 2011, Aligarh Muslim University, India.
- Presented "A new stock price model via smooth wavelet" at the 47th annual Iranian conference (aimc47), August 28-31, 2016, Kharazmi University, Iran.
- Shared insights on "Stock price forecasts via B-spline wavelets transform of high order in back propagation neural network" at the 2nd International conference on mathematics and decision science (ICMDS 2017), September 21-24, 2017, Guangzhou University, China.
- Contributed to "A new WT-ANN-OUT model for predicting the stock markets" at the International Conference on Recent Achievements in Mathematical Science (ICRAMS), 14-18 Jan. 2019, Yazd, Iran.
Certification
- Statistics, Data processing, visualization, and machine learning, Pytopia.ai - 2022
- Deep learning for business, Coursera-2020
Timeline
Ph.D. Visiting Student Researcher
University of Calgary-Computer science Department
07.2019 - 04.2020
Robotics Workshop Supervisor
Payame Noor University
09.2015 - 09.2016
Assistant Professor
Payame Noor University
04.2009 - 12.2010
Assistant Professor
Payame Noor University
10.2008 - 10.2009
Ph.D. - Applied Mathematics/ Differential Equations
Yazd University
Master of Science - Applied Mathematics/ Numerical Analysis
Yazd University
Bachelor of Science - Applied Mathematics
Shahid Beheshti University
- Statistics, Data processing, visualization, and machine learning, Pytopia.ai - 2022
- Deep learning for business, Coursera-2020
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