Data Scientist Internship

Education :
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Informatics Engineering (Teknik Informatika), or a related field.

Technical Skills:

1. Programming Languages: Proficiency in Python; experience with libraries such as pandas, NLTK, and regex.
2. Natural Language Processing (NLP): Familiarity with NLP techniques and tools. Experience with sentiment analysis and Aspect-Based Sentiment Analysis (ABSA) is a plus.
3. Machine Learning and Deep Learning: Understanding of machine learning algorithms and deep learning frameworks such as PyTorch or TensorFlow.
4. Hugging Face: Experience with Hugging Face transformers for implementing NLP models.
5. APIs: Experience with building and consuming APIs.
6. Data Handling: Ability to preprocess and analyze data, handle missing values, and perform data type conversions.

Soft Skills:

1. Analytical Thinking: Strong problem-solving skills and the ability to think critically and analytically.
2. Communication: Good communication skills, with the ability to explain complex concepts in a simple manner.
3. Team Player: Ability to work collaboratively in a team environment.
4. Attention to Detail: High attention to detail and accuracy in work.

Preferred Qualifications:

1. Experience: Previous internship or project experience in data science, machine learning, or NLP.
2. Tools: Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
3. Projects: Demonstrated experience through projects or coursework in machine learning, deep learning, or NLP.