Hassen Ibrahim

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.

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.

Advanced Diploma in Data Science and Application,

Metro College Toronto CA 2023

Certified by Google Big data analytics Provided by Couresera and Google 2022

Bachelor in Information Technology Sikkim Manipal University India HYD 2005