Only 24h Left Data Specialist

3 weeks ago


India Zetheta Algorithms Private Limited Full time
About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role We are seeking a detail-oriented and methodical student for Data Cleaning internship who is a data specialist. This is an extraordinary opportunity for a self-driven, analytical student eager to learn about data processing, validation, and preparation for AI and machine learning applications.

Responsibilities

- Assist in identifying and correcting errors, inconsistencies, and duplicates in large datasets.
- Support data validation and quality assurance processes.
- Help organize and standardize data formats across different sources.
- Learn to use data cleaning tools and software like Excel, Google Sheets, and basic programming tools.
- Assist in data entry and verification tasks to ensure accuracy.
- Support the team in preparing clean datasets for analysis and AI model training.
- Help document data cleaning processes and maintain data quality standards.

Qualifications

- Currently enrolled in any undergraduate or graduate program.
- Strong attention to detail and analytical mindset.
- Basic proficiency with Excel or Google Sheets.
- Good organizational skills and ability to work with large amounts of data.
- Eagerness to learn about data processing and quality management.
- Ability to work independently in a remote setting.
- Patience and persistence for repetitive but important tasks.

Benefits

- Opportunity to build practical skills with data processing and cleaning techniques.
- Enhance your professional portfolio with real-world data management experience.
- Exposure to AI and FinTech data workflows in a remote work environment.
- Mentorship and guidance from experienced data professionals.
- Hands-on learning experience with data quality and validation processes.

Internship Details

- Duration: Self Paced with options of 1, 2, 3, 4 or 6 months.
- Type: Unpaid
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