Mohit Singh Chauhan
About Candidate
I am a Data scientist with 5 years of experience in machine learning, data analysis, and statistical modeling. My expertise involves developing novel Active Learning algorithms for Uncertainty Quantification (UQ) in complex systems. I have worked on developing an automated framework to integrate ML algorithms and wind tunnel (BLWT) experiments, to study the influence of terrain on wind flow properties.
I have also contributed to developing UQpy, an open-source Python package for general UQ, as part of the SUR Group at JHU. Furthermore, I hold a master’s in Applied Mathematics and Statistics from JHU and a dual degree (B.Tech -M.Tech) in Civil Engineering from IIT Kanpur.
Location
Education
Civil Engineering (Focus: Active Machine Learning)
Applied Mathematics and Statistics (Major: Probability Theory)
Work & Experience
Designing and implementing machine learning models on projects for projects originating from global organizations, spanning various fields of AI and Deep Learning such as natural language processing and computer vision. MonReader: Pattern recognition predictive model using CNN with 95% accuracy to detect page flips from low-resolution images, which provides mobile documentation digitalization experience for visually impaired people. Potential Talents: Optimized talent acquisition processes by integrating RankNet TensorFlow (NLP) into a machine learning pipeline, resulting in improved selection efficiency by 50% and reduced onboarding time. Marketing: Developed a machine learning model using SMOTE and Balanced Bagged Classifier with Random Forest to enhance call success prediction to 80% for Term Deposit offers at a European banking institution.
