Abhinav G.

Key Skills

Software

OneForma

Top Subject Matter

Machine learning (deep learning) and dataset preparation for classification models

Operational analytics and automation using Python (AI/ML-adjacent training data/insights support)

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Evaluation/Rating

Entity (NER) Classification

Freelancer Overview

Data Science Intern (AI training workflow/data preparation). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include GoogleColab, JupyterNotebook, and Power BI. Education includes Bachelor of Technology, Suresh Gyan Vihar University (2026) and Higher Secondary Education, Gyan Vihar School (2020). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Oneforma Milkyway Contributor

ImageEvaluation/Rating

Evaluated the geolocation, evaluating the results as per the user query intent, viewport, and accuracy of dropped pin.

2025 - 2025

Business Analyst and Automation Intern (data-driven insights and analytics automation)

TextData Collection

Analyzed business requirements and translated complex information into actionable insights to support data-driven operations. Built and optimized automation workflows to streamline repetitive business processes and reduce manual workload. Developed Power BI dashboards to visualize key performance indicators and operational metrics for stakeholders. • Analyzed operational and reporting requirements using Python and Excel. • Built automation workflows to improve operational efficiency. • Created Power BI dashboards for KPIs and metrics visualization. • Collaborated with engineering and operations teams to implement automation solutions.

2024 - 2025

Data Science Intern (AI training workflow/data preparation)

Performed machine learning data preparation and transformation to support model training workflows using Python-based tooling. Worked on deep neural network development to improve classification accuracy on benchmark datasets. Built automated data pipelines that reduced data preparation time by 50%, enabling faster training and iteration cycles. • Cleaned and preprocessed large-scale datasets for ML pipelines. • Designed and trained deep neural network models with TensorFlow and Keras. • Developed automation scripts/pipelines to streamline data preparation. • Measured improvements in classification accuracy and iteration speed.

2024 - 2024

Education

Work History