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Data Science & Analytics Trainer at Vennote Technologies Limited

Vennote Technologies LimitedLagos, Nigeria Data and Artificial Intelligence
Contract
Vennote Technologies Limited is a well-established ICT company with experience spanning over two decades in enterprise solutions using best of breed products in very large IT deployments around the world. Vennote Technologies Limited has certified Skilled Technical resources delivering world class implementation and support services through the use of best practices.

  • Are you an experienced Data Science and Analytics Trainer with a strong background in statistics, machine learning, and data visualization? Proficient in leading data-driven projects and developing predictive models to derive actionable insights.
  • Skilled in delivering comprehensive training programs that cover the entire data science lifecycle, from data collection and preprocessing to model deployment and evaluation.
  • Passionate about empowering individuals with the knowledge and skills needed to succeed in the field of data science and analytics.

Skills:

  • Programming Languages: Python, R, SQL
  • Statistical Analysis: Hypothesis testing, Regression analysis, Time series analysis
  • Machine Learning: Supervised and unsupervised learning, Classification, Regression, Clustering, Dimensionality reduction
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau
  • Big Data Technologies: Hadoop, Spark
  • Deep Learning: TensorFlow, Keras, PyTorch
  • Tools & Libraries: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebook
  • Data Engineering: Data preprocessing, Feature engineering, Data pipelines
  • Model Deployment: Flask, Docker, AWS SageMaker

Education:

  • Bachelor's degree in data science, Statistics, Computer Science, or related field
  • Relevant certifications in data science and analytics (e.g., Certified Analytics Professional, Google Data Analytics . . . Professional Certificate)

Professional Affiliations:

  • Member, Data Science Community (e.g., Data Science Society, Women in Machine Learning & Data Science)
  • Contributor to data science blogs, forums, or open-source projects

Soft Skills:

  • Excellent communication and presentation skills
  • Strong analytical and problem-solving abilities
  • Ability to explain complex technical concepts in a clear and understandable manner
  • Passion for continuous learning and professional development

Method of Application

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