Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Sanvi Patel

New Delhi

Summary

Sophisticated Machine Learning Engineer with background in independent research using intuitive, web-based architecture. Skilled in [Skill] with documented history of discovering methods to intelligently use data to enhance user experience. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness.

Overview

3
3
years of professional experience

Work History

Machine Learning Software Engineer

IBM
Bengaluru
02.2022 - Current
  • Enhanced machine learning model accuracy by implementing advanced algorithms and optimizing feature selection.
  • Developed innovative machine learning solutions for complex data sets, resulting in improved prediction capabilities.
  • Established rigorous evaluation metrics for assessing model performance, enabling continuous improvement efforts based on quantifiable results.
  • Developed custom neural networks for specific use cases, tailoring model architecture to meet unique project requirements.

Machine Learning Software Engineer

Razor Pay
Bengaluru
05.2021 - 02.2022
  • Stayed current with emerging trends and technologies in machine learning, incorporating new techniques into ongoing projects as appropriate.
  • Implemented ensemble methods such as bagging and boosting to improve predictive performance across multiple models.
  • Managed version control for machine learning projects using Git, maintaining organized codebases and facilitating collaboration among team members.

Machine Learning Intern

Razor Pay
New Delhi
12.2020 - 04.2021
  • Implemented natural language processing techniques for sentiment analysis and text classification projects.
  • Presented findings and recommendations to stakeholders through detailed reports and visualizations, driving data-driven decision making.
  • Developed efficient data preprocessing pipelines for faster model training and improved performance.
  • Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.

Education

Bachelor of Technology - Computer Science

University of Dunlop
11.2020

Skills

  • SQL Databases
  • Scikit-Learn
  • Python Programming
  • Git Version Control
  • Deep Learning Algorithms
  • Feature Engineering
  • Neural Networks
  • Machine Learning Frameworks

Timeline

Machine Learning Software Engineer

IBM
02.2022 - Current

Machine Learning Software Engineer

Razor Pay
05.2021 - 02.2022

Machine Learning Intern

Razor Pay
12.2020 - 04.2021

Bachelor of Technology - Computer Science

University of Dunlop
Sanvi Patel