Max Okafor

Experienced Senior Data Scientist with 9+ years in analytics, machine learning, data modeling, and software engineering. Skilled in Python, SQL, Tableau, and Power BI. Boosted reporting accuracy by 50%; identified revenue growth opportunities, and led the team to increase marketing effectiveness and customer engagement.

Meta • Dublin, Ireland • 03/2021 - 07/2024

Senior Data Science

• Boosted reporting accuracy by 50% through the implementation of predictive analytics using Python, SQL,

  and machine learning libraries, enhancing decision-making across business units (TensorFlow, Scikit-learn,

  PyTorch, deep learning).

• Achieved a 50% increase in organization-wide adoption by leading the development of real-time forecasting dashboards using Tableau, API's and Power BI. This drove improved decision-making and efficiency.
• Merged data sources into a unified PostgreSQL database system, enhancing integrity by 60% through advanced data modeling and ETL pipelines with Apache Airflow, leading to more accurate analytics and improved business strategies (statistics, regression, data analysis).
• Identified a $2 million revenue opportunity through data visualization and big data technologies Hadoop and

  Spark. Leveraged Natural Language Processing (NLP, Dataflow, Terraform). Generated positive impact on business growth and market expansion.

• Led a team in developing a customer segmentation algorithm, resulting in a 60% increase in targeted marketing effectiveness and a 50% boost in customer engagement.

• Integrated two new signals into Ads Risk's machine learning model using R, NLP, and Firebase, leveraging

  Pandas and NumPy for data manipulation, uncovering an additional 150k fraudulent accounts in one month

  (data models, deep learning, and data solutions).

• Spearheaded data analysis on deposit abuse with Scikit-learn, developing risk mitigation strategies (decision making, SaaS).
• Earned an award for leading a risk mitigation project that reduced delays by 40% and increased efficiency.

  Analyzed datasets using Python and SQL, generating insights that led to a 15% increase in operational efficiency across performance reviews.

Software Engineer

• Constructed an end-to-end machine learning algorithm, raising data processing speed by 30%. Using Python,

  TensorFlow, and SQL for large datasets, improved predictive analytics accuracy. Added neural networks,

  optimized model architecture, and deployed microservice architecture.

• Streamlined cloud development with AWS, Azure, IBM Cloud, and Jenkins, slashing deployment time by 30%

  using Docker and Kubernetes.

• Architected scalable applications with ASP.NET, NET Core, VB.NET, and React Native, integrating Cosmos

  DB and CSS.

Google

• Engineered a data science model improving predictive accuracy by 35%. The implemented ML pipeline reduces processing time by 50% using Spark and Hadoop. Performed data manipulation and feature engineering, boosting model performance by 20%.

Masters of Science (MS) in Computer Science and Engineering: Distinction (Hons)

University of Derby • Derbyshire, UK

Relevant Coursework: Advanced Machine Learning Algorithms, Big Data Systems and Infrastructure, Deep Learning and Neural Networks, Natural Language Processing, Mathematics, Distributed Systems.

Bachelors of Science (B.Sc.) in Computer Science: First Class (Hons)

University of Derby • Derbyshire, UK