Morgan Stanley

Quantitative Finance Summer Associate

Intact

Working on the Chatbot team in the Intact Data Lab 🤖

Data Scientist I

Université de Montréal

• Designed a Mixed-Integer Programming model to solve a matching problem, optimizing the assignment of students to hosts
• Developed solution to automate matching process with Python & Gurobi, improving efficiency and reducing matching time by 98%
• Utilized machine learning techniques like clustering to account for student preferences resulting in higher quality matches

Operations Research Algorithms Developer

Groupe Dynamite

• Developed POC of AI summarization app with Docker, AWS, LangChain, and Python, saving 30 minutes per document
• Enhanced summary quality by 50% using prompt engineering techniques like LLM-as-a-Judge and few-shot learning
• Engineered dataset with PySpark, classified 2M customers with Random Forest for top revenue identification

Data Scientist

PennyDrops

• Manage and motivate a team of 7 members to complete insights and data projects to improve PennyDrops' operations and employ data governance practices
• Completed several automation projects, such as developing a python script to automate the creation of progress reports, reducing time spent from over 2 hours to 1 second
• Developed functional dashboards for marketing and programming teams using R and Power BI, improving data-driven decisions
• Met weekly with C-Suite to discuss strategic and administrative topics, resulting in new sponsorships and several marketing events

Chief Data Officer

Director of Insights, National Team

Deloitte

• Developed and deployed a document classification model using XGBoost and SVM in python, achieving a 92% f1-score by fine-tuning the model to mitigate class-imbalance issues
• Led client meetings to explain model and integrate into client server using GitLab, reducing manual tasks and costs
• Co-created CDC Al Taskforce, supporting consultants in machine learning and data science projects, holding weekly learning sessions on AI trends using libraries such as Tensorflow

Solution Associate 

McGill University - Desautels Faculty of Management

Research Fellow

Enterprise

• Developed and presented a decision-making tool in Excel to help branch make data-driven decisions and optimize cars rented
• Increased service quality index by 5% by proactively acting as a point of contact for customer resolutions 
• Sold protection packages using upselling techniques, leading to an average of 7$ of additional revenue per contract

Management Intern

Statistics Canada

• Cooperated in a team of 15 to answer over 6000 census questionnaires with a completion rate of 98%
• Investigated specific cases by categorizing different customer types to determine why the census was not complete 
• Resolved conflicts and used effective communication skills to increase number of completed questionnaires

Census Enumerator

Dollarama L.P.

Store Clerk

I am currently pursuing a masters degree in Computer Science, specializing in Artificial Intelligence at Université de Montréal. I am primarily interested in research combining Reinforcement Learning, Machine Learning, and Operations Research in the context of decision making under uncertainty.

Previously, I completed my undergraduate degree in Mathematics at McGill University. I am always seeking opportunities to develop my skills through competitions like datathons and hackathons, as well as my coursework.

Please feel free to connect with me!

Taplio

Amine Kobeissi's Linkedin Analytics

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Amine Kobeissi's Linkedin Analytics

Want to drive more opportunities from LinkedIn?

Amine Kobeissi's Linkedin Analytics