Neelambuj Chaturvedi has a diverse work experience, beginning in 2016 with a Co Head role at E-Cell NIT Jalandhar. In 2017, they completed a Research Internship at the Indian Statistical Institute in Kolkata, where they worked on a research problem related to protein sequence analysis of Drosophila olfactory receptors and developed an approach for finding similarities among the olfactory receptors using mathematical morphology. In 2018, Neelambuj Chaturvedi worked as a Data Science intern at Absolutdata Analytics. From 2019-2022, they worked at ZS as a Data Science Associate Consultant where they developed a ML solution to identify potential metastatic patients by leveraging Iterative Positive-Unlabeled (PU) based approach, further identified the progression of metastasis using CNNs on Patient-Images, thus increasing the capture from 13 to 22% in claims data. Neelambuj also led discussions with the stakeholders and created overall project plans along with deck creation, and mentored Data Science Associates on the projects. In 2022, Neelambuj Chaturvedi worked as an Applied Scientist at GoKwik, and as a Data Scientist at Accern.
Neelambuj Chaturvedi has a Bachelor's Degree in Industrial and Production Engineering from Dr. B R Ambedkar National Institute of Technology, Jalandhar (PUNJAB) which they obtained in 2019. Neelambuj also has a High School degree from RIVERDALE INTERNATIONAL SCHOOL which they obtained in 2014. In addition, Neelambuj Chaturvedi has obtained certifications in Structuring Machine Learning Projects from Coursera in 2020, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from Coursera in 2018, Smart India Hackathon 2017 from Ministry of Human Resource Development in 2017, Cleaning Data in Python from DataCamp, Extreme Gradient Boosting in Python from DataCamp, Machine Learning from Coursera, Neural Networks and Deep Learning from Coursera, Python for Data Science from DataCamp, and Quantitative Finance and Algorithmic Trading in Python from Udemy.
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