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Candidate Profile
Name:
At*****
Experience:
2 years
Short Profile:
ML Engineer with 2 years of experience in Python, SQL, Sklearn, PyTorch, Pandas, and NumPy.
Detailed Profile:
Developed a 3D Conditional GAN for the inverse material design of battery electrode materials using PyTorch.
Processed XYZ format into point clouds and voxel formats to ensure data compatibility using Open3D.
Trained on HPC resources to understand pore size distributions, facilitating the inverse design of materials.
Utilized NumPy and Pandas for data manipulation and Jupyter for documentation and visualization.
Remodeled the salary tagging algorithm using a decision tree achieving a 10% increase in accuracy.
Collected and preprocessed data using SAS and SQL to ensure data quality and integrity.
Enhanced performance by Sklearn and Pandas via data preprocessing techniques, including one-hot encoding.
Role:
AI-ML Engineer
Qualifications:
Bachelor's
Primary Skills:
Manual Testing
Python
SQL
Secondary Skills:
Artificial Intelligence
Cloud Computing
Data Analysis
Programming Languages
Status:
Active
Resume:
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