Ehssan Ghashim

Data mining or extracting usable data from valuable data sources
Using machine learning tools to select features, create and optimize classifiers
Carrying out preprocessing of structured and unstructured data
Enhancing data collection procedures to include all relevant information for developing analytic systems
Processing, cleansing, and validating the integrity of data to be used for analysis
Analyzing large amounts of information to find patterns and solutions
Developing prediction systems and machine learning algorithms
Presenting results in a clear manner
Propose solutions and strategies to tackle business challenges
Collaborate with Business and IT teams

Conducted extensive research, analysis, and evaluation of diverse target audiences, including management, corporate committees, government departments/agencies, industry, and professional or academic groups.
Contributed to developing and delivering engaging and informative presentations to diverse audiences.
Explored research findings into comprehensive reports and incorporated visual aids to enhance understanding and interpretation.
Directed consumer research projects by collaborating closely with marketing experts, statisticians, pollsters, and specialists.
Applied differential privacy on Canada Revenue Agency (CRA) data.
Extended research to large volumes taxpayer data while studying the trade-offs between privacy and information and the overall computational costs of this work.
Developed, hand coded and tested novel Differential Privacy methodologies and tested their suitability on large CRA datasets.
Presented research findings to senior management and represented CRA at international research conferences.
Led a project to generate private data using the work done so far.

Facilitated various class presentations and assisted with the development of new course materials, as instructed by the professor.
Delivered assistance to the instructor with test administration, curriculum development, and grading of assignments.
Assessed and evaluated student assignments to ensure requirements for quality and completeness for submission and grading.
Successfully instructed STAT2606 (Business Statistics I): unit co-ordination, curriculum design, lecturing, tutoring, student supervision, mentoring and supervising peers, teaching-related administrative activities, etc.
Provided comprehensive materials to students for reports, presentations, and peer-reviewed journal submissions.
Actively participated in regular applied probability graduate seminar.
Participated in the organizing committee of the EIGHTH ANNUAL CANADIAN STATISTICS STUDENT CONFERENCE 2020.
Delivered teaching assistance for several math/stat courses, such as undergraduate courses (Linear Algebra, Calculus, Introduction to Statistical Modelling I, Introduction to Statistical Modeling II, Probability and Statistics, Analysis of Variance/Experimental Design, Sampling Methodology, Parametric Estimation, and Applied Multivariate Analysis.
Delivered teaching assistance for graduated courses (Stochastic Optimization, Reliability and Survival Analysis, Probability Theory I, Modern Applied and Computational Statistics, and others).
Achieved recognition as Top 400 TAs at Carleton University among 5K+ TAs in 2020.

Performed numerous tasks at the Centre for Quantitative Analysis and Decision Support by serving as part of School of Mathematics and Statistics at Carleton University and conducting workshops for public servants/individuals with a keen interest in data science.
Played an integral role in organising and coordinating upcoming workshops and delivered smooth and effective delivery to participants.
Developed comprehensive materials for workshops on Bayesian analysis, decision trees, R programming basics, ggplot2, and other relevant topics.

Provided assistance in developing and delivering course materials for undergraduate and graduate-level courses.
Supported course instructor, including grading assignments and exams, monitoring student progress, and answering student inquiries.
Contributed to developing and implementing research projects, including literature reviews, data analysis, and manuscript preparation.
Participated in regular meetings with course instructors, research advisors, and fellow teaching and research assistants to discuss project progress, assess challenges, and determine next steps.
Performed several tasks by serving as TA for undergraduate courses.
Delivered comprehensive materials to students for reports, presentations, and peer-reviewed journal submissions.