Abhinay Jagirthi

Entry-level Data Analyst

Hyderabad, India 1+ yrs exp 76 · Very Good

About

Detail-oriented and analytical graduate with hands-on experience in data annotation, validation, and analysis. Proficient in Python, SQL, Microsoft Excel, and Power BI, with a strong understanding of data cleaning, visualization, and quality assurance. Experienced in working with large datasets, identifying patterns, and maintaining high accuracy standards under defined SOPs. Seeking an entry-level Data Analyst role to contribute data-driven insights and support informed business decisions.

Skills & Expertise (8)

JavaScript Intermediate

6.0/10

Years Exp

HTML5 Intermediate

6.0/10

Years Exp

CSS3 Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

ReactJS Intermediate

6.0/10

Years Exp

Responsive Web Design Intermediate

6.0/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

Eclipse Intermediate

5.2/10

Years Exp

Work Experience

GO-AI Associate (ML Data Operations)

Amazon

Aug 2025 - Present

Annotated and validated large-scale datasets supporting AI/ML model training while consistently meeting quality and productivity targets. Worked with structured data following strict SOPs, quality guidelines, and productivity metrics. Performed data quality audits to identify inconsistencies and improve dataset reliability in accordance with SOPs. Collaborated with cross-functional teams to support process improvements and data accuracy initiatives. Maintained consistent performance in a fast-paced, data-driven production environment.

Java Full Stack Intern

Codegnan Destination

Jan 2024 - Jul 2024

Developed responsive web applications using HTML, CSS, JavaScript, and ReactJS. Built and integrated RESTful APIs using Java for data-driven web applications. Worked with MySQL databases to store, retrieve, and manage application data. Deployed applications using Render and gained exposure to CI/CD fundamentals. Collaborated with team members using GitHub, following clean coding and version control practices.