My Portfolio

Work Experience

Full-time

Create and optimize data models to forecast needs for physicians in Canada, ensuring efficient data storage and retrieval
Analyze labor market data using statistical methods and machine learning to derive insights, trends, and forecasts

Full-time

Utilized ML techniques to optimize a scheduling algorithm used for scheduling over 100,000 exams per year
Developed and implemented automated solutions in Python, Java, VBA, and Excel to enhance efficiency in scheduling two major final exams
Utilized SQL to query over 100 tables to conduct quality assurance checks, ensuring the accuracy of students' data
Collaborated with 4 cross-functional teams and over 12 departments to deliver technical support and custom-built programs for scheduling final exams, optimizing room bookings, and improving registration
Crafted business briefings and reports, and presented insights to over 34 stakeholders both internal and external

Full-time

Taught 4 courses to over 1500 students in person and online
Analyzed data from over 400 students using Python to identify performance patterns based on various factors, yielding insights for academic improvement strategies
Developed automated grading systems in Excel, streamlining the grading process and reducing manual workload by 50%
Utilized statistical techniques to conduct in-depth analyses of educational data, resulting in actionable recommendations for curriculum enhancement for Logic I (Phil 279)
Secured over $50,000 in research funding through successful grant proposals, demonstrating strong analytical and communication skills in grant writing and project management

Part-time

Analyzed sales data using SQL queries, extracting insights into customer preferences and product trends, resulting in a 10% increase in sales revenue
Developed and deployed machine learning models to optimize contract evaluation and bidding strategies, resulting in a 15% improvement in contract win rate
Collaborated with cross-functional teams to develop data-driven solutions, contributing to a 20% reduction in operational costs
Conducted comprehensive data analyses and prepared detailed reports for stakeholders, facilitating informed decision-making
Implemented data quality checks and validation processes to ensure the accuracy and reliability of analytical findings
Provided data-driven recommendations for process improvements, resulting in a 25% increase in efficiency

Part-time

Collaborated research with a team of 6 researchers working on the nationally acclaimed project Expertise and Fundamental Controversy in Philosophy and Science (MOBTT45)
Contributed to the publication of over 15 papers and book chapters in prestigious venues
As the main instructor taught a graduate course titled Modal Logics: A Semantic Approach (FLFI.04.076)
Designed a graduate-level course syllabus, and over 40 quizzes for a class comprised of 10 master’s and PhD students from diverse backgrounds, including Mathematics, Philosophy, and Linguistics
Designed over 30 class worksheets and handouts and held in-person, after-class meetings with students to address their learning needs
Guided and supervised students’ end-of-semester projects and organized a 2-day seminar for students to present their final projects

Part-time

Served as a Data Collector and Analyst in the linguistic project Phonetic Features of over 30 Persian speakers led by Dr. Reza Falahati, and in collaboration with Dr. Mohammad Hosein Salarifar.
Organized meetings, walked the participants through the process, answered questions, and communicated effectively before and after each case.
The project involved collecting participants’ data, playing recorded voices for them, recording their responses using the phonetics software Praat, and organizing and transferring the data to the project supervisor.
Utilized Excel to clean, analyze, and visualize data.
Results were presented at Labphon 15, Satellite conference on Personality in Speech, Ithaca, NY, USA (Co-presented with Reza Falahati and Mohammad Salarifar).