Mahsa Banihashemi
Fredericton,NB
Summary
Dynamic and results-driven Data Scientist with expertise in Python, SQL, and machine learning, complemented by advanced analytical and problem-solving capabilities. Adept at transforming complex data into actionable strategies, with a proven track record of enhancing decisionmaking, and optimizing product strategies. Demonstrates a strong academic foundation with dual master's degrees in Computer Science and Mathematics, and professional experience in both academic and corporate environments. Skilled in fostering collaboration, mentoring, and developing innovative solutions to drive measurable outcomes.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Teacher's Assistant /
University of New Brunswick
Fredericton, New Brunswick
09.2023 - 09.2024
- Helped students master learning concepts through one-on-one and small group tutoring.
- Graded assignments and tests and documented results into filing systems.
- Graded assignments and exams in a timely and fair manner.
- Explained class procedures, lab policies and important dates.
- Tutored and assisted children individually and in small groups to help master assignments and reinforce learning concepts.
- Coordinated with teachers to identify and support students with special needs.
Data Scientist /
Eram Sabz Ghabosiyeh
Gorgan, Iran
09.2018 - 08.2021
- Analyzing large datasets to uncover patterns, trends, and insights
- This involves using statistical methods and exploratory data analysis techniques to understand the data's underlying structure
- Utilizing SQL to extract, transform, and analyze data from complex databases, enabling efficient query optimization and reporting
- Used statistical software to analyze and process large data sets.
- Created graphs and charts detailing data analysis results.
Data Scientist /
Canbo
Tehran, Iran
08.2017 - 09.2018
- Analyzing which products are frequently purchased together to optimize product placement, cross-selling, and promotional strategies
- Tested, validated and reformulated models to foster accurate prediction of outcomes.
- Developed machine learning algorithms to predict customer churn rates.
- Created graphs and charts detailing data analysis results.
- Used statistical software to analyze and process large data sets.
Instructor /
ELM & AYANDEH
Gorgan, Iran
01.2017 - 08.2017
- Tutored students requiring extra help and gave additional practice work to help improve concept understanding.
- Engaged students through lecture and discussion, increasing classroom interaction to build inclusive learning environment.
- Created lesson plans and chose supporting materials to promote positive learning experiences.
Education
Master of Science - Computer Science
University of New Brunswick
Fredericton, Canada11-2024
Master of Science - Mathematics
Tarbiat Modares University
Tehran, Iran01.2017
Bachelor of Science - Applied Mathematics
Iran University of Science & Technology
Tehran, Iran01.2014
Skills
Programming Languages: Python (Expert), SQL (Intermediate), Java (Intermediate)
Data Analysis & Statistics: Statistics (Expert), Optimization (Expert), Big Data Systems (Expert)
Machine Learning & AI: Artificial Intelligence (Intermediate), Machine Learning (Intermediate)
Cloud Computing: Azure Cloud Computing (Beginner) Mathematics & Modeling: Algebra (Expert)
Software & Tools: Microsoft Word, Excel (Expert), LaTeX (Expert)
Workshops and Accomplishments
- IMS Graduate Summer School in Logic, National University of Singapore (NUS), Introduction to geometric stability theory, computable model theory, fragments of arithmetic and their models, the universe of sets, and Ultimate L., Artem Chernicov, W. Hugh Woodin, Steffen Lempp, Theodore A. Slaman (June 19 - July 7, 2017)
- Lecture on Turing degree structures forms a natural hierarchy below the halting problem, IPM Institute for Research in Fundamental Sciences, Tehran, Yang Yue (Dec 15, 2018)
- IPM Conference on Set Theory and Model Theory, IPM Institute for Research in Fundamental Sciences, Tehran, Stevo Todorcevic, John Baldwin, James Cummings, Dugald Macpherson (Oct 12-16, 2015)
Languages
English
Full Professional
French
Elementary
Persian
Native/ Bilingual
Certification
- International English Language Testing System (IELTS) - Academic : Score 7.5 / 9 (2021) • • Microsoft Certified: Azure Fundamentals (2025)
References
References available upon request.
PASSION AND GOALS
• Advancing French language proficiency to a professional level
• Deepening expertise in artificial intelligence and its practical applications
• Pursuing advanced certifications, including Microsoft Azure (professional level) and SAS Certified Professional: AI and Machine Learning
Timeline
Teacher's Assistant /
University of New Brunswick
09.2023 - 09.2024
Data Scientist /
Eram Sabz Ghabosiyeh
09.2018 - 08.2021
Data Scientist /
Canbo
08.2017 - 09.2018
Instructor /
ELM & AYANDEH
01.2017 - 08.2017
Master of Science - Computer Science
University of New Brunswick
Master of Science - Mathematics
Tarbiat Modares University
Bachelor of Science - Applied Mathematics
Iran University of Science & Technology
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