Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

AISHA AZHAR

Milton,ON

Summary

Seeking an opportunity within a dynamic team to contribute expertise and acquired experience towards fostering the growth of the organization through the application of specialized data analysis skills and hands-on experience.

Led data analysis initiatives by employing statistical analysis techniques and visualization tools to reveal valuable business insights.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Flip Robo Internship Projects

Data Science Consulting
08.2023 - 10.2023
  • Developed a predictive model using various machine learning classifiers in Jupiter Notebook to identify fraudulent automobile insurance claims
  • Employed techniques for handling class imbalance such as class weighting, hyper parameter tuning, and oversampling with SMOTE to enhance model accuracy
  • Implemented multiple classification algorithms, with the Extra Trees Classifier demonstrating the most balanced performance
  • Achieved an accuracy score of 89.70% using Extra Trees Classifier, significantly reducing potential losses for insurance companies by effectively detecting fraudulent claims
  • Utilized cross-validation techniques, obtaining a cross-validation score of 91.28%, showcasing the model's robustness and reliability.

Avocado Sales Project

Remote Data Company
07.2023 - 08.2023
  • Constructed a predictive model utilizing K Neighbor machine learning regressor within Jupiter Notebook to discern the peak selling month and preferred avocado types
  • Implemented regression model hyper parameter tuning and oversampling techniques like SMOTE to refine model accuracy
  • Delivered enhanced insights into peak sales months and identified the most popular avocado types, enabling informed decision-making for targeted marketing strategies and inventory management.

Census Income Prediction Model

Remote Data Company
06.2023 - 08.2023
  • Developed a machine learning model utilizing various classifiers to predict whether an individual earns over $50K annually based on census income data
  • Explored different strategies for handling class imbalance and focused on hyperparameter tuning to enhance model accuracy
  • Successfully implemented multiple classification algorithms, with the Gradient Boosting Classifier demonstrating the most balanced performance
  • Achieved an accuracy of 85.13% with Gradient Boosting Classifier, providing valuable insights into the factors contributing to income levels
  • Finalized a robust model with an 80.4% accuracy rate, enabling the identification of significant predictors for income thresholds above $50K.

IBM Data Science Certification

Remote Data Company
06.2020 - 08.2021
  • Applied diverse data science methodologies, utilizing SQL, Excel, and Python libraries to conduct comprehensive data analysis
  • Proficiently managed data by importing, cleaning, and visualizing datasets, culminating in the development and evaluation of machine learning models and pipelines
  • Leveraged a spectrum of data science skills, techniques, and tools to complete projects and communicate findings through comprehensive reports.

Education

IBM Professional Data Science Certificate - Data Science

Data Trained
Toronto, ON
10.2023

Oracle Certified Associate (OCA) -

Seneca College of Applied Arts and Technology
12.2007

Information Technology, Bachelor of Arts - Computer Studies

York University
08.2003

Skills

  • Quantitative Methods
  • Data Warehousing
  • Data Mining
  • Data Visualization: Excel, Matplotlib, Power BI
  • Data Structures
  • Regression Analysis
  • Data Science Research Methods
  • Statistical Computing Methods
  • SQL, Python (Pandas, Scikit-learn)
  • Modeling: Linear and Logistic Regression

Certification

  • Data Trained Data Science - Oct 2022 - Oct 2023
  • Power BI Training

Timeline

Flip Robo Internship Projects

Data Science Consulting
08.2023 - 10.2023

Avocado Sales Project

Remote Data Company
07.2023 - 08.2023

Census Income Prediction Model

Remote Data Company
06.2023 - 08.2023

IBM Data Science Certification

Remote Data Company
06.2020 - 08.2021

IBM Professional Data Science Certificate - Data Science

Data Trained

Oracle Certified Associate (OCA) -

Seneca College of Applied Arts and Technology

Information Technology, Bachelor of Arts - Computer Studies

York University
  • Data Trained Data Science - Oct 2022 - Oct 2023
  • Power BI Training
AISHA AZHAR