Venu K B

Associate Consultant

Bengaluru, Karnataka, India1 yr 8 mos experience

Most Likely To Switch

Key Highlights

Expert in generating high-quality datasets for AI.
Strong mentoring skills for new analysts.
Proficient in Python and GCP for data management.

Stackforce AI infers this person is a Data Tagging Analyst with a focus on AI/ML and data management.

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Skills

Core Skills

Data AnnotationMachine Learning

Other Skills

AlgorithmsAmazon Web Services (AWS)Application DevelopmentBackend webBashBasic Python Data StructuresBasic Python SyntaxCascading Style Sheets (CSS)Coding StandardsCommunicationComputer ScienceData ModelingData StructuresDatabase Management System (DBMS)Databases

About

Data Tagging Analyst | AI/ML Enthusiast | Building Data Foundations for Smarter Systems I'm currently working at Applied Systems as an Associate Data Tagging Analyst, where I generate high-quality Ground Truth datasets to support AI and machine learning model development. I use tools like Python, JSON, and GCP, and actively contribute to workflow management, task supervision, and quality control. Beyond my core role, I mentor new analysts and collaborate with ML teams to ensure labeled data meets real-world needs. I'm also upskilling in AI, ML, and Data Science, aiming to transition into more technical roles in the near future.

Experience

1 yr 8 mos

Total Experience

1 yr

Average Tenure

1 yr 3 mos

Current Experience

Applied systems

2 roles

Associate Data Tagging Analyst

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

As a Data Tagging Analyst, I work on generating high-quality, 100% accurate Ground Truth datasets to support machine learning model development and evaluation. My role requires precision, consistency, and a deep understanding of data annotation standards in AI systems.
Key Responsibilities & Achievements:
Delivered 100% accurate ground truth data across multiple annotation projects, ensuring quality benchmarks for AI training datasets.
Supervised a team of Associate Data Tagging Analysts — assigning, reviewing, and closing annotation tasks (tickets) to maintain workflow efficiency and data quality.
Took initiative in guiding and mentoring new team members, helping to ramp up their performance and understanding of annotation tools and standards.
Coordinated task distribution and quality control even in the absence of an official leadership title, acting as the go-to person for operational support within the team.
Utilized Python for data handling, JSON formatting, and automation of routine annotation and review processes.
Worked with Google Cloud Platform (GCP) to stage and manage Ground Truth datasets for AI pipelines.
Collaborated with engineering and ML teams to ensure the accuracy and relevance of labeled data to real-world AI applications.