About
Enthusiastic and results-driven aspiring Data Scientist actively engaged in the 3MTT program, building foundational skills in data analysis, machine learning, and statistical modeling. Eager to apply emerging technical proficiencies and problem-solving abilities to contribute to data-driven decision-making and innovation in a dynamic professional environment. Seeking opportunities to leverage academic learning and practical project experience to drive impactful insights.
Education
Training Program
Data Science
Courses
Data Analysis with Python (Pandas, NumPy)
Statistical Modeling & Hypothesis Testing
Machine Learning Fundamentals (Supervised & Unsupervised Learning)
Data Visualization (Matplotlib, Seaborn)
SQL for Data Management
Introduction to Cloud Platforms (e.g., AWS, Azure, GCP)
Languages
English
Igbo (Optional, if applicable)
Yoruba (Optional, if applicable)
Skills
Programming Languages
Python, SQL, R (Basic).
Data Analysis & Manipulation
Pandas, NumPy, Data Cleaning, Data Preprocessing, Statistical Analysis, Exploratory Data Analysis (EDA).
Machine Learning
Scikit-learn, Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering.
Data Visualization
Matplotlib, Seaborn, Power BI (Basic), Tableau (Basic).
Database Management
SQL, Database Querying, Data Extraction.
Tools & Platforms
Jupyter Notebook, Google Colab, Git, GitHub.
Soft Skills
Problem-Solving, Analytical Thinking, Team Collaboration, Continuous Learning, Communication.