PRAVEEN KUMAR E
@praveenkumare
Motivated product management aspirant with a strong tech foundation.
What I'm looking for
I am a motivated and detail-oriented Product Management aspirant with a strong foundation in technology, user research, and agile methodologies. My passion lies in building customer-centric digital products, where I combine analytical thinking, UX sensitivity, and cross-functional collaboration to create impactful solutions.
Currently, I work as a Machine Learning Data Specialist at LabelBees, where I transitioned from an intern to a full-time role. I focus on data annotation, preprocessing, and post-processing, achieving an 80% improvement in data accuracy. My projects include developing a Placement Management System and a Full-Stack ECommerce Platform, utilizing technologies like React.js, Node.js, and MongoDB. I am eager to leverage my skills in product management to contribute to innovative projects.
Experience
Work history, roles, and key accomplishments
Machine Learning Data Specialist
LabelBees
Sep 2024 - Present (1 year 9 months)
Started as an intern and transitioned to a full-time role, focusing on data annotation, preprocessing, and post-processing. Conducted detailed reviews to improve data accuracy by 80% and streamlined image compilation for object detection models. Performed exploratory data analysis (EDA) to ensure dataset quality and applied post-processing techniques to enhance model predictions.
Education
Degrees, certifications, and relevant coursework
SENGUNTHAR COLLEGE OF ENGINEERING
Bachelor of Technology, Information Technology
Grade: 8.5 CGPA
Completed a Bachelor of Technology in Information Technology, achieving a CGPA of 8.5. Gained a strong foundation in various aspects of information technology.
MDV Higher Secondary School
HSC
Grade: 75%
Completed Higher Secondary Certificate with a score of 75%. Focused on core subjects during this period.
MDV Higher Secondary School
SSLC
Grade: 91%
Completed Secondary School Leaving Certificate with a score of 91%. Achieved strong academic performance.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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