FATEMEH SEIFISHAHPAR

250-***-**** adsp5u@r.postjobfree.com Victoria BC LinkedIn Git

EDUCATION

• Master’s Student, Electrical and Computer engineering, University of Victoria Sep. 2019 – Present

• Master of Science, Applied Mathematics, Institute for Advanced Studies, Iran Sep. 2012 – Aug. 2014

• Bachelor of Science, Applied Mathematics, Bu Ali Sina University, Iran Sep. 2008 – Aug. 2012

KEY SKILLS:

- Python, R

- MS SQL Server, MySQL, SSAS, DAX, ETL

- Data Modelling in Power BI, Tableau (Link)

- Statistical and Predictive Data Analysis

- Excel/ Google sheets

- A/B Testing & Experimentation

- Cleaning, Transforming, and Visualizing Large-Scale Unstructured logs

- Web Scraping (BeautifulSoup and Pandas)

- Artificial Intelligence, Machine Learning

- Python Libraries (Matplotlib, Scikit Learn, Pandas, Numpy and seaborn and Plotly).

- Pytorch (Deep Learning library)

- Proficient in Microsoft Suite of Tools

- Jupyter and VS code

- Atlassian Jira, Git Version Control.

HIGHLIGHTED PROJECTS

- Coronavirus Data Analysis project using python, SQL, and Tablea:

Hands-on data analysis including cleaning, manipulating, and visualizing project using real-world data to perform data analysis and data visualization. The project is based on Coronavirus data and includes analysing, cleaning, manipulating, and visualizing data with the help of python libraries such as NumPy, pandas, matplotlib, and seaborn.

- IPL-2022 Exploratory data analysis and Formula1 data visualization projects using python:

In these projects in IPL-2022 dataset, we use python and Jupyter notebook to answer specific questions. In Formula 1 project, datasets are processed and combined to create a clean dataset. Then we analyse the data by visualization methods using visualization tools from Seaborn and matplotlib libraries.

- Correlation and Data Exploration of Movie Industry and Coronavirus Datasets in Python Exploring the Coronavirus deaths dataset using SMSS and creating interactive visualizations of the data using Tableau. Exploring the correlation in Movie Industry Dataset using pandas, seaborn and matplotlib libraries.

- Blind Image Quality Assessment based on Multi-resolution Local Structures Extracting local entropy and standard deviation from non-overlapping 8 8 blocks in the image and its gradient version from two scales to better distinguishing blur and noise effects on images. Evaluated on a standard LIVE database (2021, Published).

WORK HISTORY

University of Victoria, Victoria, BC Sep 2019 - present

- Learning Assistant Program:

Python programming, Statistics and Probability, Linear Algebra

- Teaching Assistant:

Data Analysis & Pattern Recognition, Algorithms and Data Structure, IT Linear algebra, and Continuous-time signals and systems

- Learning and Teaching Support and Innovation-University of Victoria.

- Data Analyst, Amin MK. Co, Tehran, Iran Jun 2017 – July 2019 Data modelling, and managing the design & development of Data Warehouse ETLs and reports to meet project needs using Python, R, MS SQL Server, and Excel.

- Lecturer, University of Kashan, Iran Sep. 2013 – Aug. 2016 Statistics and Probability theory, Discrete Mathematics, Linear Algebra, Mathematics for Engineering, and Calculus courses.

- Visiting Researcher, CWI, Amsterdam, Netherlands Jan. 2015 – Jan. 2016 Quantum Algorithms and cryptology.

AWARDS AND HONORS

● Research Fellowship, University of Victoria, 2020.

● Research Scholarship award, Ministry of Science and Technology of Iran, 2015.

● Graduated among top three students in mathematics at Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran (M.S. Degree).

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