Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 3

Increased company revenue by 15% by identifying and implementing new sales strategies based on data analysis.

Implemented a new data management system that improved data accuracy and reduced data processing time by 50%.

Created a set of interactive dashboards using Tableau, Google Data Studio, and Power BI enabling executives and managers to easily access and understand key performance metrics.

Led a team of data analysts in a large-scale data migration project, resulting in a seamless transition to a new data platform.

Conducted a comprehensive analysis of customer data, resulting in the development of targeted marketing campaigns that increased customer retention by 20%.

Collaborated with cross-functional teams to improve data-driven decision-making throughout the organization.

Continuously updated and improved data analysis processes and procedures, resulting in a more efficient and effective data analysis function.
As a data analyst, I have completed a wide range of projects and tasks. Some examples projects I have worked on include: 
•	LDA Topic Modelling of Covid-19 media coverage in Uganda: This was exploratory and experimental research to find out which topics stood out in Ugandan media coverage of Covid-19 according to a machine learning method called LDA Topic Modelling
•	Financial Analysis using Python: I used Python to conduct a financial analysis on an S&P 100 dataset by applying my Python skills to filter lists, summarize sector data, plot P/E ratios in histograms, visualize financial trends, and identify outliers.
•	Analysis of Safeboda Rides and Payments using SQL: I used PostgresSQL to analyze and generate statistics about rides and payments for SafeBoda
•	Sales Dashboard using Google Data Studio, I used Google Data Studio to analyze W3 Store Datasets and create a dashboard for clear insights.
•	Analysis of Kenyan hospital data using Python: I used the python libraries of Pandas, Matplotlib, and Seaborn to analyze and visualize Kenyan Hospital data by filtering, and aggregating hospital data using pivot tables, plotting charts to identify the trend in healthcare facilities in the country.
•	Tableau dashboards: I used Tableau to prepare and analyze the Airbnb dataset and created Dashboard for visualization

Currently, I am working as a data analyst in a team, and my role involves working closely with other data analysts and data scientists to extract insights from data and communicate those insights to stakeholders.

In terms of technologies, I am proficient in SQL, Python, Google Data Studio, Tableau, Power BI, and Excel.

In the future, I would like to improve my skills in machine learning and deep learning, as well as work on more projects that involve natural language processing.
As a data analyst, I understand that my primary responsibility will be to extract insights and knowledge from data and communicate those insights to stakeholders in a clear and actionable way. I expect to be involved in all aspects of the data analysis process, from data collection and cleaning to analysis and modeling, to visualization and communication of results