Automation & Optimization- Automated Processes: Streamlined manual processes using Python, SQL, and MATLAB, selecting the most efficient language for each task.- Process Rescripting: Transformed legacy processes from Alteryx to Python or SQL, enhancing user-friendliness and computational efficiency.- Script Optimization: Improved the performance of SQL and Python scripts by rescripting, remodeling, indexing, parallelization, and using modern packages.- Pipeline Automation: Implementing Apache Airflow to create automated pipelines for continuous processes.Data Management- Snowflake Expertise: Proficient in using Snowflake to handle larger datasets, preferring it over SQL Server for enhanced performance and scalability.- Snowpark for Processing: Utilized Snowpark to run Python code within Snowflake and optimize data processing tasks.Data Quality & Visualization- Quality Control App: Developed a graphical app with Streamlit called AutoQC, enabling team members to perform various quality checks on intermediate and final tables easily.- Dashboard & Summary Creation: Created dashboards and summary sections for each result of the checks in the AutoQC app with StreamlitWeb Scraping- Web Scraping Automation: Automated repetitive manual tasks with web scraping scripts using the Selenium package.- Geographical Data Cleansing: Utilized Google Maps and Bing APIs to cleanse geographical data, reducing 4 weeks of manual work to a few hours.Collaboration & Version Control- Version Control: Utilized Git and TFS platforms for version control

- Worked on revenue management and price optimization in sharing companies such as Uber, Airbnb, etc. - Proposed a discrete-event simulation of queueing systems and loss systems with the goal of optimizing the gained profit using SimPy library in Python- Worked on related databases of sharing companies to get some insightful ideas for different variables in the model and interpreted them in details- Trained ML models such as Neural Network, Random Forest, and Gradient Boosting methods using scikit-learn as other alternatives for price optimizing in these systems- Used different hyperparameter tunning methods such as Keras Tuner or Randomized Search Cross Validation for finding better values for hyperparameters Research experience:- Business Analysis- Data-Driven Decision-Making- Machine Learning- Data Analysis- Data Visualization- Revenue Management- Operations Management- Price Optimization

- Department of Mathematics: 2Z03 Course - Differential Equations- DeGroote School of Business: 2OC3 Course - Operations Management and Production- DeGroote School of Business: 2QA3 Course - Business Statistics

- Produced monthly in-depth reports and dashboards using Excel and Tableau software to find the trending goods and the peak days/hours in stores; based on the results, proposed methods to control the inventory levels and other managerial insights to increase the revenue and reduce the costs- Organized trends and turned them into insightful presentations for senior managers- Proposed different recommendations on product listings based on the monthly reports and provided suggestions for various promotions on high-demand products- Modelled all the relations in the chain stores as an ERD diagram using Visual Paradigm software- Transferred the model to Microsoft Access and created some insightful queries, forms and reports based on that