ABOUT

Hi, you can call me Yemi Fatodu. I am a Data Scientist.

I believe that data can create remarkable opportunities in today’s world, driving business growth and innovation. Throughout my projects—such as developing HR dashboards to analyze employee retention statistics and examining the Titanic dataset—I consistently showcase my expertise in this field. My primary role is to facilitate the transformation of information into actionable knowledge that supports informed decision-making among stakeholders. By leveraging dashboards, models, and reports, I enable organizations to capitalize on data, fostering innovation and generating positive outcomes aligned with their strategic objectives.

In previous projects, including the sales trend analysis for Adidas and the diabetes patient outcome forecasting model, I have gained valuable experience in extracting meaningful insights from data. Utilizing professional techniques such as logistic regression and pattern recognition, I ensure the credibility of the data I work with. My key strength is the ability to analyze large, raw datasets and present coherent, actionable business intelligence. Whether optimizing processes or guiding market.

PROJECTS

HEALTH ANALYSIS

The Health Analysis Report applies predictive analytics and exploratory data analysis (EDA) to a diabetes dataset, examining the distribution and relationships among key variables. This approach builds a logistic regression model to predict outcomes for critical diabetes indicators, supporting healthcare decision-making. The analysis highlights how leveraging big data can significantly improve health intervention delivery and patient outcomes.

REPORT API MODEL Blog Post

ADIDAS 2020/21 REPORT

Key findings indicate that strategic adaptations on aligning products with shifting consumer preferences is instrumental in sustaining sales momentum. The analysis identifies specific regions and product lines that demonstrated notable growth, underscoring Adidas’ ability to respond effectively to changing market conditions. These insights highlight areas of strong performance and pinpointing successful products that contributed to overall sales stability.

REPORT DASHBOARD Blog Post

SALES' ANALYSIS

As part of my internship, I developed the sales analysis dashboard using Excel, SQL, and Tableau to reveal sales growth driven by a refined marketing strategy. SQL queries extracted purchasing histories, while Excel provided an opportunity to see the whole data from a data analyst perspective, detailed customer input analysis, Tableau visualizations highlighted key trends, demonstrating the impact of data as a critical tool for shaping organizational strategy.

REPORT DASHBOARD Blog Post

SHOPPER'S TREND

Analysis of shopping trends by customers was essential to gain a thorough understanding of their purchasing behavior, offering in-depth insights into shopping habits and inclinations. This information is priceless for marketers looking to enhance their marketing strategies and customers looking to enhance their experiences accordingly. By recognizing patterns and trends in customer purchases, these companies can modify their products and improve customer satisfaction.

REPORT DASHBOARD Blog Post

THE TITANIC

This report presents a descriptive analysis of survival rates among Titanic passengers, examining factors that influenced their likelihood of survival. Key variables considered include age, gender, passenger class, and ticket price. The analysis highlights trends related to these variables, identifying the most affected groups and providing insights into human behavior during disasters. This understanding is crucial for interpreting the dynamics of survival in critical situations.

REPORT DASHBOARD Blog Post

H.R. ANALYSIS

The HR analysis conducted during my internship revealed that job satisfaction is a significant factor influencing employee turnover. Utilizing SQL, I extracted and analyzed relevant data sets. The dashboard created for this analysis highlighted key concerns for HR professionals and identified actionable strategies to enhance employee retention. The findings suggest that targeted interventions can effectively improve job satisfaction and reduce turnover rates.

REPORT DASHBOARD Blog Post

SKILLS

Python

Analyzing extensive datasets is often essential, and I excel in this area through my proficiency in Python. Utilizing tools such as Pandas and NumPy, along with libraries from scikit-learn, I can effectively manipulate large volumes of data to derive meaningful insights and conclusions.

Link to course

Tableau

I have honed my skills in Tableau, which enables me to transform extensive datasets into visually engaging dashboards. This proficiency allows for stakeholders to efficiently extract insights and utilize available data to support informed decision-making driven by data analysis.

Link to course

SQL

I am expertise in SQL, specializing in querying and importing large databases, as well as fine-tuning and effectively administering SQL databases throughout the data processing cycle. This proficiency enables me to quickly filter essential data, streamlining complex search requests and facilitating comprehensive analysis.

Link to course

Education and Experience

Having acquired a solid foundational education in data science along with practical experience in analyzing various datasets, I have significantly enhanced my ability to analyze and manipulate data effectively. These valuable experiences have equipped me to build models that inform strategic decision-making, ultimately contributing to increased organizational success.

Link to course

Excel

I frequently start my data preparation journey with loading my data into Excel and as enable me master advanced Excel functions, pivot tables, and macros to analyze data more effectively. My expertise enables me to simplify complex data sets into concise and understandable analyses that are easily interpreted by decision-makers as well.

Link to course

Machine Learning

I am familiar with various algorithms, including Linear and Logistic Regression, K-Nearest Neighbors (KNN), Classification Trees, and Cluster Analysis, which I have applied in practice to address real-world problems and have utilize these techniques to extract valuable insights from data and support decision-making systems.

Link to course

CONTACT

yemifatodu@gmail.com

+1 409 269 5122

+234 7033736377