DATA SCIENCE INTERN

Technical Skills: Programming Languages: Proficiency in Python; experience with libraries such as pandas, NLTK, and regex. Natural Language Processing (NLP): Familiarity with NLP techniques and tools. Experience with sentiment analysis and Aspect-Based Sentiment Analysis (ABSA) is aplus. Machine Learning and Deep Learning: Understanding of machine learning algorithms and deep learning frameworks such as PyTorch or TensorFlow. Hugging Face: Experience with Hugging Face transformers for implementing NLP models. APIs: Experience with building and consuming APIs. Data Handling: Ability to preprocess and analyze data, handle missing values, and perform data type conversions. Soft Skills: Analytical Thinking: Strong problem-solving skills and the ability to think critically and analytically. Communication: Good communication skills, with the ability to explain complex concepts in a simple manner. Team Player: Ability to work collaboratively in a team environment. Attention to Detail: High attention to detail and accuracy in work.