About

My name is Oyedun Samuel Titobiloluwa, I am a data enthusiast, cutting across data processing, data analytics and business analytics I have spent the past 3 years crunching data set and improving my database management skills , and I am keen to continue developing my career in the field of data analysis. I have always been a numbers person, with exceptional mathematics and computer skills. I am fluent in a number of data management systems and software, including Excel(pivot table, power query, power Pivot amidst other functions), SQL, PowerBi R and phyton programming language. As much as I’m into data manipulation, it’s the analysis of data that really gets me going. I like to explore the relationships between numbers, and translate digits and spreadsheets into stories. On a personal level, I am detail-oriented, organized, and precise in my work. I have strong communication skills with a knack for clear and illuminating presentation. I’m comfortable on my own facing the numbers, but I really enjoy being part of a motivated team of smart people.

Skills

  • Communication
    10
  • Teamwork
    10
  • Problem-Solving
    10
  • Leadership
    10
  • Data Science
    7
  • Data Analytics : Microsoft Excel
    9
  • Data analytics and visualization
    9
  • Data Analysis
    10
  • SQL
    8
  • Python
    6
  • Data analysis using R programming
    9
  • Machine Learning
    8

Experience

Samuel Oyedun

Work experience
  • Data Analysis in Excel, Statistics for Analytics, Programming in R and Python.
  • Introduction to Machine Learning, Data Preparation in R, Data Visualization in R.
  • Advanced R Programming Language in Machine Leaning.
  • Supervised Learning.
  • Supervised Machine Learning Algorithms (Nearest Neighbor, Naive Bayes, Decision Trees, Classification Rule
  • Learners, Linear Regression, Regression Tress, Neural Networks).
  • Unsupervised Learning (Association Rules, K- means Clustering).
  • Capstone project: Completing a case study.
  • SQL Fundamentals (DML, DDL, TCL, DCL)
  • Power BI for Visualization.
  • Data Mining and Web Scrapping
  • . • MongoDB for NOSQL Database manipulation

Samuel Oyedun

Work experience
  • Performed statistical analysis of large datasets using advanced techniques such as linear regression and predictive
  • modeling.
  • Created SQL queries to extract data from multiple sources for reporting purposes.
  • Provided insights into customer behavior through the use of descriptive analytics tools.
  • Analyzed data trends and created visualizations for management review.
  • Designed and developed reports and analytics using modern data visualization tools.
  • Utilized Microsoft Excel to generate reports and graphs based on complex datasets.
  • Employed predictive analytics to determine customer behavior and future trends.
  • Implemented machine learning algorithms to improve accuracy of predictions and forecasts.
  • Explained complex data sets in simple terms to non-technical audiences.
  • Evaluated large datasets to identify trends and develop actionable insights

Related persons

Lawal Abdulazeezfaruq
matthew adewumiProfessor at university of Ilorin, Ilorin Nigeria
Atolagbe Mercy