Parag Jain

Education

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  CFA Institute

  2010 - 2011

  Level III Candidate Finance

  Activities and Societies: CFA Level 3 candidate

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  St. Margaret Senior Secondary School

  2001 - 2003

  Higher Secondary Science (Computer Science)
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  XLRI Jamshedpur

  2010 - 2012

  MBA Business Management

  Activities and Societies: Finance Association at XLRI(FINAX) 1. Executive Member, Finance Association at XLRI(FINAX) [2011-12]- Organised Private Equity Conclave, Gnosis 2011 participation of 8 industry stalwarts, budget 5 lacs- Conceived and spearheaded Student Welfare Fund, investment opportunity for faculty & students2. Treasurer, Services Placement Support Committee [2011-12] - Managed budget allocation of INR 8 lacs cutting… Show more 1. Executive Member, Finance Association at XLRI(FINAX) [2011-12]- Organised Private Equity Conclave, Gnosis 2011 participation of 8 industry stalwarts, budget 5 lacs- Conceived and spearheaded Student Welfare Fund, investment opportunity for faculty & students2. Treasurer, Services Placement Support Committee [2011-12] - Managed budget allocation of INR 8 lacs cutting cost by 10% as compared to previous process3. Event Coordinator, XLRI Annual International festival, Ensemble [2011]- Conceptualized the event, with participation from over 60 students from 20 b-schools all over India Show less

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  Indian Institute of Technology, Roorkee

  2004 - 2008

  BTech Electronics and Communication.
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  Stanford University

  -

  Machine Learning Specialization, Certification

  • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.• Build and train a neural network with TensorFlow to perform multi-class classification.• Apply best practices for machine learning development so that your models generalize to data and tasks in the real world.• Build and… Show more • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.• Build and train a neural network with TensorFlow to perform multi-class classification.• Apply best practices for machine learning development so that your models generalize to data and tasks in the real world.• Build and use decision trees and tree ensemble methods, including random forests and boosted trees.• Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection.• Build recommender systems with a collaborative filtering approach and a content-based deep learning method.• Build a deep reinforcement learning model. Show less

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  XLRI Jamshedpur

  2010 - 2012

  Master of Business Administration - MBA BUSINESS, MANAGEMENT, MARKETING, AND RELATED SUPPORT SERVICES