Hello, I am data analyst and a Virtual Assistant by profession. My five (5) years of experience as a data analyst and as a VA has helped me acquire exceptional skills in accounting, data entry, cleaning, statistical data analysis and advance data visualization. Am able to run design experiments, multiple and multivariate regression models, logistic regression, and more advanced statistical tests. I primarily work with Odoo, Python, Excel, SPSS, and R. I place the highest priority on customer satisfaction. Am always excited to work on new projects. AFFORDABLE CUSTOM ORDER ARE AVAILABLE! Thanks.…

BARTLEY DAWUD

Hello, I am data analyst and a Virtual Assistant by profession. My five (5) years of experience as a data analyst and as a VA has helped me acquire exceptional skills in accounting, data entry, cleaning, statistical data analysis and advance data visualization. Am able to run design experiments, multiple and multivariate regression models, logistic regression, and more advanced statistical tests. I primarily work with Odoo, Python, Excel, SPSS, and R. I place the highest priority on customer satisfaction. Am always excited to work on new projects. AFFORDABLE CUSTOM ORDER ARE AVAILABLE! Thanks.…

Available to hire

Hello,

I am data analyst and a Virtual Assistant by profession. My five (5) years of experience as a data analyst and as a VA has helped me acquire exceptional skills in accounting, data entry, cleaning, statistical data analysis and advance data visualization. Am able to run design experiments, multiple and multivariate regression models, logistic regression, and more advanced statistical tests. I primarily work with Odoo, Python, Excel, SPSS, and R.
I place the highest priority on customer satisfaction. Am always excited to work on new projects.
AFFORDABLE CUSTOM ORDER ARE AVAILABLE!
Thanks.

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Work Experience

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Education

Bachelor of science statistics at University of Nairobi
September 3, 2018 - July 28, 2023

Qualifications

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Industry Experience

Financial Services, Healthcare
    paper Dynamic Excel Sales Dashboard

    Our client is a mid-sized retail company specializing in consumer electronics. They operate both online and through physical stores, with a significant amount of data generated from sales transactions, customer interactions, and inventory movements. The client aims to leverage this data to drive informed business decisions and improve overall sales performance.

    Project Goals
    Centralized Sales Data Management: Consolidate sales data from various sources into a single, easily accessible Excel dashboard.
    Dynamic and Interactive Dashboard: Develop an interactive dashboard that allows users to filter data by different dimensions (e.g., time period, product category, region).
    Data Visualization: Provide clear and insightful visualizations to help identify trends, performance metrics, and areas for improvement.d

    uniE621 BANK CUSTOMER DASHBOARD
    Business Problem Statement: Bank Customer Churn Analysis Customer churn is a significant challenge for financial institutions, impacting revenue and profitability. Understanding the key drivers of churn can help banks develop effective retention strategies. This project aims to analyze customer behavior, segment customers based on their banking activities, and uncover patterns that distinguish churned customers from retained ones. Using SQL, students will perform data exploration, advanced querying, and visualization in Power BI to generate meaningful insights. They will apply aggregate functions, conditional statements, subqueries, CTEs, window functions, and joins to answer critical business questions. Key Business Questions to Solve: Understanding Customer Churn ✅ What attributes (e.g., credit score, balance, tenure, number of products) are most common among churners? ✅ What is the overall churn rate? How does it vary across demographics? ✅ Are customers with higher balances more likely to stay or leave? Customer Segmentation & Behavioral Analysis ✅ Can customers be grouped into different segments based on their banking behavior? ✅ How do high-value customers (e.g., high balance, multiple products) compare to low-value customers? ✅ What proportion of churned customers had multiple products vs. single products? Geographic & Demographic Trends…

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