ansarimoiz / readme-with-video Goto Github PK

• 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.

• Languages: Python , SQL, C

• Tools & Skill:   Data Analysis (Numpy, Pandas, Matplotlib), Machine Learning (sklearn, TensorFlow), SQL, Tableau, Arena Simulation, CPLEX, MS Office (Excel, Word, PowerPoint).

  Work experience 👔

• A Scatter Search metaheuristic to solve a bilevel product pricing problem

• A Particle Swarm metaheuristic to solve a bilevel product pricing problem

• A Cplex model to solve a single level product pricing model with ranks and utility

• Evaluation of ANN, Support Vector and Random Forest to predict patient's heart failure

• ANN model to predict the customer's retention for a bank

Regression Model using Random Forest	Classification using Decision Tree	K-Means Clustering
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

• Data Exploration using Covid Dataset

• 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