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Become a sponsor to Sanjay Viswanathan

I’m a Software Engineer turned Data Engineer and Program Manager with a passion for solving real-world problems through data science and machine learning. With experience at LTI and Truuth, I've worked on cross-functional projects, achieving 99% accuracy in detecting fake documents using ML and building adaptive image enhancement models.

In addition to hands-on engineering, I love sharing knowledge. As a Google ML Facilitator, I've delivered over 55 talks on machine learning, data science, and open source at various events, helping others learn and grow in these exciting fields.

By supporting me, you're not only helping fuel my open-source contributions but also encouraging more educational content and community engagement. Your sponsorship will enable me to dedicate more time to building innovative solutions, creating tutorials, and contributing to the open-source ecosystem.

Why Sponsor Me?
Innovation & Impact: My projects aim to tackle real-world challenges using cutting-edge data and ML solutions.
Education & Community: I believe in giving back by sharing knowledge through workshops, talks, and open-source contributions.
Collaboration: Sponsoring me means joining a journey of growth, exploration, and continuous learning.
Let’s build something great together! πŸ’‘

@sanjay-kv

Your support will help me dedicate more time to building innovative data science and ML solutions, contributing to open-source projects, and creating educational content for the community.

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Featured work

  1. sanjay-kv/Open-source-Practice

    GSSoC is a 3-month long #OpenSource program by GirlScript Foundation, India.

    Makefile 915
  2. recodehive/Stackoverflow-Analysis

    Stack overflow is a professional community for developers. This repo analysis 3 years of developer Survey done by Stackoverflow and do visualization and predict the salary of Data Scientist in futu…

    Jupyter Notebook 228
  3. sanjay-kv/Semi-supervised-sequence-learning-Project

    Semi supervised sequence learning using the LSTM recurrent network - SA-LSTM, LM-LSTM

    Jupyter Notebook 14

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