Madhur Yadav

Data Science Consultant (Remote) at Saiva

Madhur Yadav has worked in the field of Data Science and Machine Learning for the past three years. In 2020, they worked as a Data Science Consultant for SAIVA, Inc. in a remote role. During this time, they created a classification and ranking model to reduce re-hospitalization of patients and increase revenue. Madhur also established dashboards using AWS Quicksight, Tableau and Plotly to monitor different KPIs, and used model agnostic methods such as SHAP to explain model results and generate patient reports. In 2019, Madhur worked as a Machine Learning Engineer for Cura Technologies Inc., where they prepared Multi-label and Multi-class Classification Models for Medicine and Dosage Prediction, as well as a Classification model to predict people with the risk of hypoglycemia. From 2017 to 2019, Madhur worked as a Senior Software Engineer and Software Engineer for Persistent Systems. During this time, they worked on Banking, Government, Consumer goods, and Cloud management products, and used a Machine Learning driven Natural Language Processing platform (Text. AI) for Named Entity Recognition, Classification and Intelligent decision making.

Madhur Yadav has a comprehensive educational background. From 2000 to 2009, they attended Delhi Public School - Bhilai. Madhur then went on to pursue a Bachelor of Technology (B.Tech.) in Electronics and Telecommunications Engineering from Rungta College of Engineering & Technology Kohka-Kurud Bhilai from 2009 to 2013. Subsequently, they completed a Master of Technology (M.Tech.) in Computer Science and Data Processing from the Indian Institute of Technology, Kharagpur from 2015 to 2017. Additionally, Madhur Yadav has obtained several certifications from Udemy and NPTEL, including Clean Machine Learning Code (Udemy, 2022), Amazon(AWS) QuickSight - Getting Started (Udemy, 2021), and Modern Web Scrapping with python using scrapy, selenium, splash (Udemy, 2021).

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Timeline

  • Data Science Consultant (Remote)

    March 1, 2020 - present

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