Akanne Victor

I am a results-driven data scientist with strong expertise in statistical modeling, machine learning, and data visualization, focused on turning raw data into actionable insights. I have hands-on experience cleaning, organizing, and preprocessing datasets to ensure reliability and quality for analysis and modeling.

I have applied machine learning models to predict market trends and user behavior, and developed data-driven insights to support blockchain and token performance analysis. I routinely use Python, SQL, and big data tools to solve real-world problems and optimize decision-making.

My technical toolkit includes Python (Pandas, NumPy, Scikit-learn), SQL, MongoDB, Matplotlib, and Seaborn, along with strengths in data cleaning, statistical analysis, and predictive modeling. I have completed practical projects and a Certificate of Completion in Data Science from Techcrush Institute, Victoria Island, Lagos State.

I bring a practical, results-oriented approach to data science work, with demonstrated ability to support strategic decisions through preprocessing, validation, visualization, and reporting. I am ready to contribute to teams that value data-driven solutions and continuous learning.