GEappliances is hiring for Intern Data Anaytics | Apply Now

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Role :Intern Data Anaytics

Location :IND, Bangalore, KA

Job Description

The GE Appliances philosophy, supported by three straightforward promises, outlines how we collaborate, seek out better solutions, and create opportunities in order to shape the way we operate, innovate, create, do business, and give back to our communities.

Responsibilities

  • Crucial Obligations
  • Recognize Data Automation needs: To guarantee conformity with project goals and objectives, quickly absorb and comprehend data automation needs.
  • Develop and Maintain Automation Scripts: To ensure efficiency and accuracy, develop and maintain Python scripts that automate data gathering, cleaning, and processing processes.
  • Convert R Scripts to Python: Examine current R automation scripts and translate them to Python, making sure to maximize both maintainability and performance.
  • Utilize Cutting-edge NLP and AI technologies: To improve data relevance and insights, make use of Large Language Models (LLMs), OpenAI (Generative AI) API, and sophisticated Natural Language Processing (NLP) approaches. Design a user interface allowing databases to be accessed by information.

Education Qualifications

  • Final year or completed B.Tech.
  • Engineering in computer science

Skills

  • Expertise in Python programming, including familiarity with libraries like Pandas, NumPy, Scikit-learn, NLTK or SpaCy, OpenAI, and Sentence-transformers. competent in using cosine similarity, ADASYN, and gradient boosting as machine learning techniques.
  • Large Language Models (LLMs): Comprehensive knowledge of the benefits and drawbacks of each LLM, as well as experience deploying, utilizing, and contrasting BERT and other LLMs for complex NLP tasks.
  • Natural Language Processing (NLP): Able to apply sophisticated NLP methods and incorporate them into Python scripts to analyze large amounts of data.
  • Full-Stack Development: The ability to create interactive and user-friendly scripts and apps using both front-end (HTML, CSS, JavaScript) and back-end (Python, Flask, Django) programming languages.
  • R Programming: Proficient use of the R programming language for data visualization and statistical analysis.
  • SQL Databases: Proficiency with relational databases and SQL is required for effective data retrieval and storage.
  • NoSQL Databases: Knowing how to handle unstructured data in NoSQL databases, like MongoDB.
  • Jupyter Notebooks: Ability to use Jupyter Notebooks for interactive model building, data visualization, and analysis.
  • Integrated development environments (IDEs): Proficiency in coding, debugging, and project management with IDEs such as PyCharm and VS Code.
  • Prompt Engineering: Expert in creating and refining prompts for a range of NLP assignments and uses.
  • Version Control: For efficient code management and teamwork, a basic understanding of version control systems such as Git is necessary.
  • Data Security: For safe data handling and compliance, understand cybersecurity and data security rules.
  • Proficiency in utilizing OpenAI API and related applications for sophisticated AI and natural language processing assignments.
  • MS Office Suite: Able to manipulate and report data using the MS Office Suite, especially Excel.
  • Enthusiasm for Data Science: Strong enthusiasm for data science coupled with a dedication to further education and career advancement.

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