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Data Science
2 months ago
- 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
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