Are you eager to translate raw numbers into actionable insights that drive real-world business decisions? Do you dream of working at the forefront of innovation, alongside industry leaders like GE Appliances? If so, then the GE Appliances Data Analytics Internship program is the perfect opportunity to launch your career in this dynamic field.
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About the GE Appliances
GE Appliances is an American home appliance manufacturer based in Louisville, Kentucky. It has been majority-owned by multinational home appliances company Haier since 2016.
It is one of the largest appliance companies in the United States and manufactures appliances under several brands, including GE, GE Profile, Café, Monogram, Haier, and Hotpoint (Americas only, European rights held by Whirlpool Corporation). The company also owns FirstBuild, a co-creation community and micro-factory on the University of Louisville’s campus in Louisville, Kentucky. Another FirstBuild location is in South Korea, and a FirstBuild location in India opened its doors in 2019.
The company was owned by General Electric until 2016, and it was previously known as GE Appliances & Lighting and GE Consumer & Industrial. Haier has the right to use the GE brand name until 2056.
About the Data Analytics Internship
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., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.
The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together, we always look for a better way, and we create possibilities.
Eligibility Criteria
B.Tech final year or B. Tech completed.
Computer Science engineering
Technical Skills
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.
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Our Culture
At GE Appliances, innovation meets passion, and conversations result in outstanding outcomes and experiences. We recognize and value the diverse backgrounds and experiences that each individual brings to GE Appliances. We think that a diverse workplace, in which everyone is welcome to be their true and authentic selves, stimulates creativity and innovation. We understand that our differences are our greatest strength.
Diverse teams generate the best innovations across all functions of a company. Our dedication to creating a safe and inclusive workplace in which everyone is appreciated enables employees to achieve at their peak every day. Diversity at GE Appliances enables us to achieve zero distance from our owners, innovate smartly, and connect with the communities and people we serve. We promote and support ideas and aspirations.
How will you generate possibilities?
Essential Responsibilities
Understand Data Automation needs: Quickly absorb and comprehend data automation needs to guarantee alignment with project goals and objectives.
Created and maintained Python scripts to automate data gathering, cleaning, and processing operations, resulting in increased productivity and accuracy.
Convert R Scripts to Python: Analyze current R automation scripts and convert them to Python while maximizing efficiency and maintainability.
Leverage Advanced AI and NLP technologies: Use Large Language Models (LLMs), the OpenAI (Generative AI) API, and advanced Natural Language Processing (NLP) approaches to improve data relevance and insights. Create a User Interface for retrieving information from databases.
Location
India : Bangalore
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