Data Scientist and Machine Learning Engineer

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

Statistical Analysis

Machine Learning Algorithms

Data Visualization

Programming Skills (Python/R)

Data Wrangling and Preprocessing

Deep Learning

Big Data Technologies

Model Evaluation and Validation

Feature Engineering

Communication and Presentation Skills

SQL and Database Management

Cloud Computing

Communication, teamwork, and critical thinking to ensure seamless project execution.

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

Task

95%

Develop and implement machine learning models for predictive analytics, leveraging Python and relevant libraries.

92%

Design and execute experiments to test model performance and identify areas for improvement.

90%

Clean, preprocess, and analyze large datasets to extract meaningful insights for business decisions.

88%

Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

85%

Stay updated with the latest advancements in machine learning and data science, and apply them to projects.

82%

Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.

80%

Build and maintain data pipelines to ensure data quality and availability for analysis and modeling.

78%

Optimize machine learning models for performance and scalability, considering resource constraints.

75%

Implement and maintain machine learning infrastructure, including cloud-based platforms and tools.

72%

Conduct statistical analysis and hypothesis testing to validate model results and ensure statistical significance.

70%

Develop and maintain documentation for machine learning models, including data sources, algorithms, and performance metrics.

Work Activities

Detailed Work Profile

Interests