Skills Required: Data Science, Python, Pandas, Matplotlibs
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We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus.
Roles & Duties:
Analyze and process large datasets using Python and Pandas.
Develop and optimize machine learning models for predictive analytics.
Create data visualizations using Matplotlib and Seaborn to support decision-making.
Perform data cleaning, feature engineering, and statistical analysis.
Work with structured and unstructured data to extract meaningful insights.
Implement and fine-tune NER models for specific use cases (if required).
Collaborate with cross-functional teams to drive data-driven solutions
Required Skills & Qualifications:
Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.).
Experience in data analysis, statistical modeling, and machine learning.
Hands-on expertise in data visualization using Matplotlib and Seaborn.
Understanding of SQL and database querying.
Familiarity with NLP techniques and NER models is a plus.
Strong problem-solving and analytical skills.