Candidate Requirement

• Mandatory Skills Python , API Throttling, Sentiment Analysis, Pandas & Numpy.

Responsibilities:

• development of ML models in python using sklearn, regression, classification and clustering algorithms
• Work with textual dataset using NLP modelling techniques and NLP frameworks . - Data cleaning and Data preprocessing technniques.
• Work with a rich dataset of tabular data and using data science methodologies, data preprocessing, feature engineering and selection,Hyperparameter tuning.
• Continuously refine ML models to improve accuracy. Building end to end ML and data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML features into the application.
• appealing graphs and visualizations to communicate findings effectively.

Requirements: -

• Proven hands-on experience in Python3 programming, Pandas, Numpy and other ML libraries like tensorflow sklearn, ..
• Familiarity with data analytics packages. - Intermediate knowledge in statistics for data analysis and data interpretation with models like Matplotlib or Seaborn. - Collaborative mindset with excellent communication skills to work effectively in a team.
• Proficiency in analysing data using charts and graphs using matplotlib, seaborn. - GITHUB, PYCHARM, CI/CD pipeline experience, VsCode and Notebooks.