Data Analyst well versed in Excel, SQL, Python, PowerBI and Tableau
• Which product and city has generated the most profit and sales for the last 2 years?
• The category and subcategory of each product.
• The total sales and profits for each quarter for the last 4 years.
• The cities with the top sales
•Made an exploratory analysis on the number of Data Analyst Jobs made available in Africa
• What types of jobs are available -- Remote, Full-time or Hybrid
• Are there increases in Data Analytics jobs?
• What are the industries to look into?
•Created a WebApp displaying predictable home rental prices using Streamlit
•Achieved exploratory and predictive regression analysis of over 4,700 customer datasets
•Achieved over 85% accuracy in handling imbalanced data in SMOTE by applying a logistic regression model to predict customer subscriptions Predictive model to predict whether a bank customer will subscribe to a term deposit or not
Tools: Python | scikit-learn
•Performed exploratory and descriptive analysis of over 183,000 trips across 16 trait datasets to gain insight into multiple factors that influence trips and correlations. •Discovered patterns, spotted anomalies, and tested hypotheses with the help of summary statistics and graphical representations
Tools: Python | Medium
This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area. For the data wrangling & analysis I used Python & Jupyter notebook.
This is a data wrangling project.
In this project, I made use of the Data Wrangling steps, which are:
1. Gather
2. Assess
3. Clean
In this project I gathered data from multiple sources (WeRateDogs twitter account, downloaded programmatically)