My Resume

Skills & Expertise

1. Data Analysis:

Python, R, Excel, Google Sheets

2. Database Querying:

SQL, MySQL, Microsoft SQL Server

3. Data Visualization:

Tableau, Power BI, Looker Studio, ggplot2, Matplotlib

4. Cloud Platforms:

Google Cloud Platform (BigQuery, Dataflow)

5. Data Cleaning & Preparation:

Data validation, removing duplicates, handling missing values

Data formatting (dates, currencies, etc.)

6. Statistical Analysis:
Hypothesis testing, Regression analysis, Descriptive statistics

(mean, median, mode, standard deviation), Statistical inference

and probability
7. Exploratory Data Analysis (EDA):

Identifying trends, patterns, and outliers, Understanding distributions, correlations, and relationships between variables.
8. ETL (Extract, Transform, Load):

Data extraction and processing, Data transformation tools

(Google Cloud Dataflow, Apache Spark).

9. Soft Skills:

Problem-Solving & Critical Thinking, Project Management, Attention to Detail, Communication, Collaboration & Adaptability.

Education

2017 - 2021

I pursued a B.Sc. in Applied Mathematics at Kenyatta University,

where I developed a deep understanding of mathematical principles and their real-world applications.

My studies provided a solid foundation in key areas such as numerical methods, mathematical modeling, and statistical analysis. I also gained valuable skills in problem-solving and critical thinking, which are essential for analyzing and interpreting data.

Bachelor of Science ( Applied Mathematics Major)

Certifications

2022

2023 - 2024

I pursued a Certificate in Financial Analysis (FMVA) at the Corporate Finance Institute (CFI), where I developed essential skills in financial modeling, valuation, and corporate finance.

The program provided in-depth training in analyzing financial statements, forecasting, and building financial models, equipping me with the expertise to assess business performance and make informed financial decisions. This certification strengthened my ability to apply financial principles in real-world scenarios, complementing my analytical background and enhancing my proficiency in financial analysis.

Financial Analysis

I completed several specialization courses, including:

Google Cloud Data Analytics Professional Certificate
IBM Data Analyst Professional Certificate.
Google Data Analysis with R Programming Certificate.
Microsoft Data Analysis and Visualization with Power BI Certificate.
UC Davis Fundamentals of Visualization with Tableau.

These certifications have provided a solid foundation in key areas such as data analysis, visualization, programming, and cloud-based analytics, further enhancing my technical skills and ability to derive meaningful insights from complex datasets.