May 2017 - Current
Research Programmer, Machine Learning
Machine Learning Department, Carnegie Mellon University.
January 2017
Attended Deep Learning course at MIT
6.S094: Deep Learning for Self-Driving Cars
Practical overview of deep learning methods and applications
through the applied theme of building a self-driving car.
Fall 2013 - December 2016
Northeastern University: Master's Degree
Major: Computer Science. Concentration: Artificial Intelligence.
Graduate Dean's Scholarship. Learnt functional programming, machine learning, graph theory, image processing, natural language processing, information retrieval, mining information/social networks and information theory.
September 2016
Attended Deep Learning School at Stanford
Bay Area Deep Learning School at Stanford University.
May 2016 - August 2016
Statistical Analysis on a Healthcare dataset
Statistical Data Analyst at Department of Pharmacy
and Health Systems Sciences at Northeastern University.
Fall 2015
Audited Bayesian Data Analysis course at Harvard
STAT 220: Bayesian Data Analysis. Graduate-level core course, focusing on Bayesian conceptual frameworks and computational strategies.
May 2015 - October 2015
Statistical Analysis on large Healthcare datasets
Statistical Data Analyst at Department of Pharmacy
and Health Systems Sciences at Northeastern University.
Time-series regressions on high-performance research computing cluster.
January 2015
Attended Machine Learning School at UT, Austin
Machine Learning Summer School at the University of Texas at Austin.
August 2014 - December 2015
Analytical Consulting in Health sciences to Bouvé College faculty
Statistical Analyst at Biostatistics Service Center at Northeastern University.
Interacted with 10+ faculty, reviewed analytic plans and ran statistical analyses.
April 2014 - December 2015
Statistical Analysis on large Healthcare datasets
Research Assistant at Center for Health Policy and Healthcare Research.
Multivariate regressions, generalized linear models, SEMs and factor analysis.
Spring 2014
Pursued Statistical Learning course from Stanford Online
Statistical Learning coursework. Statement of Accomplishment.
Fall 2013
Audited Statistical Learning Theory course at MIT
9.520: Statistical Learning Theory and Applications.
Machine Learning in the framework of Statistical Learning Theory.
January 2013 - April 2013
Visiting Faculty at SCMHRD
Taught business analytics to MBA students and Economists.
August 2012
SAS Certified Base Programmer for SAS 9
Base SAS skills, SAS Functions and SAS Programming. License.
December 2011 - June 2012
Advanced Analytics at SAS R&D India
SAS Solutions OnDemand team - Advanced Analytics Lab.
Financial risk modeling and Portfolio optimization
using convex and non-convex optimization models.
Appreciated for high-quality SAS ToolPool contributions.
Summer 2011
Implemented parallel computational finance algorithms.
Discretization and parallelization of option pricing and stochastic volatility models.
2011 - 2012
SCMHRD: Post-graduate Diploma in Business Analytics
Learnt to apply mathematical models to Business problems:
operations research, marketing research and forecasting.
December 2010
Attended Workshop at IIT Kharagpur
Statistical Modeling for Data Analysis.
2010 - 2012
University of Pune: Master's Degree
Mathematical Modeling and Statistical Simulation.
Stochastic Models in Finance and Time Series Analysis.
October 2009 - July 2010
Built a focused web crawler at C-DAC Mumbai
Project Associate with the KBCS division (AI group).
Text analytics: Information retrieval on Hadoop platform.
2009 - 2010
Karnataka State Open University: Master's Degree
Introduced to Pattern Recognition and Image Processing.
October 2007 - September 2009
Built and maintained AI systems at C-DAC Mumbai
Sr. Technical Associate with the KBCS division (AI group).
Data mining, case-based reasoning and expert systems.
August 2007 - September 2007
Built software using Java at IRIS Business
Loans and equity modules of a personal finances software.
2006 - 2007
FPGDST at C-DAC Mumbai (Formerly NCST)
Graduate-level diploma in Advanced Software Technology.
Introduced to the fascinating world of Artificial Intelligence.
Summer 2005 & Spring 2006
Resource allocation problem for housing allotment at a township.
2003 - 2006
Amity University: Bachelor's Degree
University Gold Medalist for highest GPA.