Welcome to My Portfolio

Hi, I'm Ibrahim Ali, a data scientist with a passion for solving complex problems using data.

About Me

I am a data scientist with a rich background in Hausa Fulani culture, currently focused on leveraging data to drive business decisions and solve real-world problems. I hold a BSc in Statistics from Kano State University of Science and Technology and am pursuing an MSc in Statistics at Ahmadu Bello University, Zaria.

Skills

• Data Analysis using SQL
• Exploratory Data Analysis (EDA)
• Data Visualization: Matplotlib, Plotly, Seaborn, and Tableau
• Python Programming and its Frameworks
• Machine Learning: Supervised and Unsupervised techniques
• Statistical Analysis and Hypothesis Testing
• Strong problem-solving skills and attention to detail
• Business Understanding
• Client Communication
• Model Evaluation
• Mathematical Modelling
• API Design
• Natural Language Processing (NLP)

Experience

Data Science Job Simulation at British Airways

January 2024 - February 2024

Completed a simulation focusing on how data science is a critical component of British Airways' success. Scraped and analyzed customer review data to uncover findings and built a predictive model to understand factors that influence buying behavior.

Data Analyst Instructor at CWW Tech Africa

January 2022 - September 2023

Instructed and mentored students in data analysis techniques, tools, and best practices. Created and delivered engaging workshops and training sessions on data analysis concepts.

Projects

Explore US Bikeshare Dataset

GitHub Link

Conducted exploratory data analysis on the US Bikeshare dataset to uncover patterns and trends in bike usage.

Data Analysis using SQL (Video Rental Dataset)

GitHub Link

Explored and analyzed a video rental dataset using SQL queries to derive valuable insights and trends.

Bankruptcy in Poland

GitHub Link

Developed models to predict bankruptcy among Polish companies using various classification techniques.

Earthquake Damage in Nepal

GitHub Link

Built logistic regression and decision tree models to predict the severity of earthquake damage in Nepal.

Air Quality in Nairobi

GitHub Link

Developed an ARMA time-series model to forecast air quality in Nairobi based on historical data.

NBA Predictions Project

GitHub Link

Analyzed NBA playoff games and built predictive models to forecast outcomes.

PowerCo Churn Analysis

GitHub Link

Analyzed customer data for PowerCo to identify factors leading to customer churn and built a predictive model.

Customer Segmentation in the US

GitHub Link

Utilized k-means clustering to segment customers and created an interactive dashboard to visualize the segments.

A/B Testing at WorldQuant University

GitHub Link

Performed chi-square tests and ETL processes to analyze A/B test results for a case study at WorldQuant University.

Apartment Sales in Buenos Aires

GitHub Link

Developed a linear regression model to predict apartment prices based on various features.

Housing in Mexico

GitHub Link

Analyzed property prices in Mexico to determine the impact of size and location on prices.

Book Recommendation Web App

Web App Link

Developed a web app that recommends books based on the user's current mood.

Education

BSc in Statistics

Kano State University of Science and Technology

MSc in Statistics (in view)

Ahmadu Bello University, Zaria

Contact

Email: Ibrahimgama4@gmail.com

Phone: 08052693100

LinkedIn: linkedin.com/in/ibrahimgama4

GitHub: my-profile-github-io.vercel.app