Data Analytics Internship
About the Internship
The Intern will be working on Python scripting for automation of data, Machine Learning (Training the data for automating), building user interface to access SQL database.
Skill(s) required
- Python Programming: Advanced proficiency in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, NLTK or SpaCy, OpenAI, and Sentence-transformers. Skilled in implementing machine learning algorithms such as Gradient Boosting, ADASYN, and cosine similarity
- Large Language Models (LLMs): Expertise in implementing, leveraging, and comparing BERT and other LLMs for advanced NLP tasks, with a thorough understanding of their advantages and limitations
- Natural Language Processing (NLP): Proficient in utilizing advanced NLP techniques and integrating them into Python scripts for comprehensive data analysis
- Full-Stack Development: Proficiency in both front-end (HTML, CSS, JavaScript) and back-end (Python, Flask, Django) languages for developing user-friendly and interactive scripts and applications
- R Programming: Advanced proficiency in the R programming language for statistical analysis and data visualization
- SQL Databases: Strong understanding of relational databases and SQL for efficient data storage and retrieval
- NoSQL Databases: Familiarity with NoSQL databases such as MongoDB for handling unstructured data
- Jupyter Notebooks: Proficiency in using Jupyter Notebooks for interactive data analysis, visualization, and model development
- Integrated Development Environments (IDEs): Experience with IDEs like PyCharm and VS Code for efficient coding, debugging, and project management
- Prompt Engineering: Skilled in designing and optimizing prompts for various NLP tasks and applications
- Version Control: Basic knowledge of version control systems like Git for effective code management and collaboration
- Data Security: Understanding of data security and cybersecurity policies for secure data handling and compliance
- OpenAI API: Experience in using the OpenAI API and its applications for advanced AI and NLP tasks
- MS Office Suite: Proficient in handling MS Office Suite, particularly Excel, for data manipulation and reporting
- Passion for Data Science: Keen interest in data science, with a commitment to continuous learning and professional development
Who can apply
- B.Tech final year or B.Tech completed.
- Computer Science engineering
- Location: Bengaluru, Karnataka, India
About Company
At GE Appliances, a Haier company, we come together to make “good things, for life.” As the fastest-growing appliance company in the U.S., they’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. They believe in the power of their people and in giving them the freedom to explore, discover and build good things, together. Their philosophy, backed by three simple commitments defines the way they work, invent, create, do business, and serve their communities: they come together, they always look for a better way, and they create possibilities.
