About
Aspiring Data Scientist with hands-on experience in large-scale data annotation, preprocessing, and dataset quality improvement at Samsung Data Lab. Strong foundation in Python, SQL, statistics, machine learning algorithms, and data visualization. Experienced in handling multimodal datasets and supporting AI/ML model training pipelines. Passionate about transforming raw data into meaningful insights and solving real-world problems using data-driven approaches.
Skills & Expertise (28)
Work Experience
Data Annotation VIT - Chennai
Samsung Seed DATA LAB
Nov 2024 - Present
Processed and annotated 7,00,000+ images and speech samples with 98 percentage accuracy to support AI and ML model training. Performed data cleaning, labeling, and validation, significantly improving dataset quality and reliability. Conducted quality assurance checks to ensure data consistency and integrity for analytics pipelines. Collaborated with AI/ML teams to refine annotation standards, improving downstream model performance. Reduced annotation time by 15 percentage by optimizing workflow processes and systematic task management. Assisted in preparing structured datasets used for training predictive models and analysis.
Education
B.E Computer Science Engineering - Sathyabama Institute of Science and Technology
2020 - 2024 · Afghanistan
Certifications
Python Certification
GUVI HCL · 2024
AWS S3 Services Project
Credo Systemz · 2023
AWS – Load Balancer with Auto Scaling
STAR Certification · 2022
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Relocation
Depends on Offer
