Hassen Ibrahim

Data Scientist & Analyst

Talent

Brampton, Ontario45 CAD/hourMember since June 30, 2023

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About

Highly skilled Data Analyst with proficiency in Python, R, SQL, SAS, and Tableau. Seeking a challenging role where I can leverage my expertise in data collection, cleaning, and analysis to derive valuable insights and contribute to data-driven decision-making. With a solid foundation in business operations and 10 years of experience, I aim to deliver impactful solutions by combining my analytical mindset and effective communication skills to collaborate with cross-functional teams.

Experience

Bike Share big data analysis using Python

Throughout this project, I demonstrated my proficiency in handling and merging extensive datasets, encompassing over 3 million observations. To ensure data quality, I skillfully applied the Interquartile Range (IQR) method, effectively detecting and removing outliers. Additionally, I addressed the issue of missing data by employing the chi-square and correlation methods to ascertain relationships between features.

Subsequently, I utilized grouping and mode-based imputation techniques to replace missing data while preserving the normality and distribution proportions of the dataset. My commitment to feature engineering was evident as I created new features that significantly improved predictive capabilities. As a result of my comprehensive efforts, I achieved an impressive 85% accuracy in categorizing customers as casual or subscriber members.

The project exemplified my adeptness in data manipulation, analysis, and decision-making, all contributing to a successful outcome.

Customer Churn using SAS In this project, I skillfully imported a text-based dataset into SAS, but I encountered several challenges such as missing data, erroneous inputs, and columns with incorrect formats. Determined to obtain accurate results, I meticulously cleaned the data, ensuring its reliability. I took a proactive approach to address the issue of existing or churned customers by creating a new feature.

Throughout the analysis, I thoroughly explored the interrelationships between various features and crafted insightful graphs and plots to capture trends and patterns. Based on these valuable insights, I was able to make data-driven recommendations aimed at reducing the number of churning customers. My dedication to data cleaning and analysis played a crucial role in deriving meaningful conclusions and contributing to actionable solutions for the business.