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Olalekan Oseni

@olalekanoseni

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Nigeria

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What I'm looking for

I'm looking for a role where I can apply my data analysis skills, contribute to data-driven decisions, and grow in areas like machine learning and business intelligence. I value teamwork, continuous learning, and the opportunity to solve real-world problems with actionable insights.

I’m Olalekan Oseni, a passionate Data Analyst with over three years of hands-on experience in data cleaning, exploratory analysis, and predictive modeling. I specialize in using Python, SQL, Excel, Power BI, and Tableau to turn raw data into meaningful insights that drive business growth and strategic decisions.

Throughout my career, I’ve collaborated with cross-functional teams to deliver impactful analytical solutions and built dashboards that enhance real-time performance monitoring. From developing machine learning models that improved forecast accuracy to uncovering trends that boosted revenue, I consistently strive to bridge data and decision-making.

With a strong foundation in statistical analysis, data visualization, and automation, I’m driven by a continuous desire to learn—especially in the fields of AI and machine learning.

Let’s connect if you're looking for someone who can transform complex data into clear, actionable insights.

Experience

Work history, roles, and key accomplishments

Data Analyst

21st Century Technologies Limited

Nov 2024 - Apr 2025 (5 months)

Collected, cleaned, and analyzed large data points monthly to uncover trends, improving decision-making efficiency by 30%. Utilized SQL and Python to extract, clean, and analyze large datasets, delivering actionable insights that led to a 25% increase in revenue. Designed and implemented custom dashboards in Excel, Tableau and Power BI, enabling key performance indicators monitoring and tracking progress in real time.

SQL Python Excel Tableau Power BI Data Analysis Data Visualization Report Generation Project Management

Junior Data Scientist

XpertIT Limited

Oct 2023 - Nov 2024 (1 year 1 month)

Assisted in the collection, cleaning, and preprocessing of over 1TB of data, ensuring high-quality datasets for analysis and achieving 99% data accuracy. Conducted exploratory data analysis (EDA) on multiple datasets using statistical techniques, identifying key trends, patterns, and anomalies that led to a 15% improvement in business decision-making.

predictive modeling data preprocessing Data Collection Data Cleaning Exploratory Data Analysis Statistical Techniques Machine Learning Data Visualization Report Generation Stakeholder Communication

Data Analyst Intern

Cosmic365.ai

Jan 2022 - Jun 2022 (5 months)

Assisted in data collection and preprocessing using Excel and SQL, contributing to a comprehensive dataset for a major market analysis project. Supported the development of interactive dashboards in Tableau, enabling the visualization of key metrics and insights for team presentations.

data preprocessing Excel SQL Tableau Data Analysis Data Visualization Market Research Communication Documentation

Junior Data Analyst

Radical Technologies Limited

Sep 2022 - Present (3 years)

Conducted in-depth data analysis using SQL, Python, and Excel to identify trends and provide actionable insights, leading to a 15% increase in operational efficiency. Developed and maintained interactive dashboards in Tableau, allowing stakeholders to visualize key performance metrics and track project progress in real-time.

SQL Python Excel Tableau Data Analysis Data Visualization Data Cleansing Business Intelligence

Education

Degrees, certifications, and relevant coursework

Fusion Versity

Data Science, Data Science

2024 - 2024

Completed a comprehensive program in Data Science. Focused on practical applications and theoretical foundations.

Cognitive Class

Data Analysis with Python, Data Analysis

2024 - 2024

Acquired skills in data analysis using Python. Covered essential libraries and techniques for data manipulation and visualization.

Cognitive Class

Python 101 for Data Science, Data Science

2024 - 2024

Learned the fundamentals of Python programming for data science. Gained proficiency in basic Python syntax and data structures relevant to data analysis.