- Master of Applied Science Graduate from Concordia University
- Graduate Research Assistant under Dr. Ivan Contreras with about 2 years of experience
Field of interests: Data Analysis, Mathematical Modelling, Simulation, Optimization.
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Tools & Skill: Data Analysis (Numpy, Pandas, Matplotlib), Machine Learning (sklearn, TensorFlow), SQL, Tableau, Arena Simulation, CPLEX, MS Office (Excel, Word, PowerPoint).
| Job Position | Company | Field | Work Period |
|---|---|---|---|
| Operations Research Analyst | Concordia University | Operations Research | 01.01.2021 — 15.08.2022 |
| Industrial Intern | Business Innovation Labs | Industrial Engineering | 01.02.2021 — 30.04.2021 |
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A Scatter Search metaheuristic to solve a bilevel product pricing problem
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A Particle Swarm metaheuristic to solve a bilevel product pricing problem
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A Cplex model to solve a single level product pricing model with ranks and utility
| Regression Model using Random Forest | Classification using Decision Tree | K-Means Clustering |
|---|---|---|
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| Regression model predicting the Salary of clients based on their position level (Junior, Manager etc. ) | A Decision Tree Classification, demonstrating purchase decision of customer based on Age and Salary | A K Means Clustering to cluster customers on factors such as Age , Income , Gender and Spend score |
- Dataco Dashboard - An interactive dashboard displaying a geographical display of countries by product sales and other KPI’s
- Customer Sales Dashboard - An interactive dashboard displaying sales information such as profit margin, most profitable products and segmentation based on different types and countries.
- Python for Everybody @ Coursera
- The Complete SQL Bootcamp 2022: Go from Zero to Hero @ Udemy
Linkedin Profile LinkedIn.
- Power Corporation of Canada Graduate Fellowship