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Data Science with less than a year in AI data annotation & quality assurance.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Sc. Computer Science graduate with hands-on experience in AI data annotation, LiDAR point cloud labeling, and data quality assurance. Skilled in Python, Data Analysis, Excel, Generative AI, and Prompt Engineering. Completed Tata and Deloitte Data Analytics simulations and applied analytical problem-solving to real-world business scenarios. Seeking opportunities in Data Analytics, AI Operations, and AI Data Specialist roles.
Bharathidasan College of Arts and Science
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2025
Desicrew solutions pvt. Ltd.
Data Annotation Apprentice
August 1, 2025 – Present
India
Tata GenAI-Powered Data Analytics Simulation
June 1, 2026 – Present
Applied Generative AI techniques to analyze datasets and generate business insights. Developed AI-assisted recommendations to support data-driven decisions.
Deloitte Data Analytics Simulation
June 1, 2026 – Present
Conducted data analysis to identify trends and business opportunities. Delivered stakeholder-focused recommendations based on analytical findings.
Python Mini Project
June 1, 2026 – Present
Developed a Python-based application using functions, conditional statements, and logical operators.
Diploma in Python Programming
Unknown
June 1, 2026 – Present
Tata GenAI Data Analytics Simulation – Forage
Forage
June 1, 2026 – Present
Deloitte Data Analytics Simulation – Forage
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications demonstrate an interest in modern data science topics like Generative AI and data analytics. The current internship in data annotation aligns with a detail-oriented, quality-focused work ethic. The breadth of skills listed (Python, Data Analysis, AI Operations, Prompt Engineering) suggests an adaptability and willingness to learn diverse tools relevant to the target role. However, the experience is primarily academic and entry-level, so the depth of cultural fit in a fast-paced, senior-level environment is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's experience in data annotation and collaboration on workflow efficiency suggests an ability to follow guidelines, maintain accuracy, and work within a team. The academic projects indicate a problem-solving mindset and an ability to deliver recommendations, which are valuable for operational roles. However, direct evidence of advanced soft skills like leadership or complex stakeholder management is limited due to the entry-level nature of experience.