Abhinaya

Key Skills

Software

Other

Top Subject Matter

Computer vision object recognition (real-world objects in images/video)

Data extraction/ETL

Dashboarding Domain Expertise

Top Data Types

Image

Top Task Types

Object Detection

Data Collection

Freelancer Overview

Machine Learning Intern — Infosys Springboard (Feb 2025 – Apr 2025). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK) and Other. Education includes Bachelor of Technology, Malla Reddy Engineering College for Women (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Object Detection and Data Collection.

Labeling Experience

Data Analytics Intern — ScholarRank AI (May 2025 – Aug 2025)

OtherData Collection

Performed data extraction and transformation using SQL and Python to support AI research workflows and improve downstream reliability. Built and maintained Power BI dashboards and Excel models to deliver real-time insights to stakeholders across concurrent AI research efforts. Produced comprehensive data reports highlighting performance trends and enabling faster, more informed decision-making. • Reduced data processing errors by 20% through SQL/Python-driven ETL. • Delivered real-time stakeholder dashboards supporting 3+ concurrent AI research projects. • Improved project outcomes by 18% via reporting on key performance trends. • Reduced report turnaround time by 15% through cross-functional collaboration.

2025 - 2025

Machine Learning Intern — Infosys Springboard (Feb 2025 – Apr 2025)

OpenCV AI Kit (OAK)Object Detection

Completed an end-to-end object recognition system using computer vision and machine learning to identify and classify objects in images and video streams. Built and applied image preprocessing pipelines to improve training efficiency and overall model performance. Trained, evaluated, and documented classification models for mentor review and presentation of results. • Implemented resizing, normalization, and augmentation using OpenCV. • Performed object recognition training and evaluation for real-time accuracy. • Produced written findings and presented outcomes to program mentors. • Contributed to model iteration by refining preprocessing and training workflows.

2025 - 2025

Education

Work History