• 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