Gagan Preet Singh Email and Phone Number
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Gagan Preet Singh is currently Senior Financial Analyst with the Finance Innovation Office at Hewlett Packard Inc. Prior to this, he worked with Tavant Technologies, a provider of digital software products and platforms, and associated consulting services from April 2018 to January 2019. From July 2015 to February 2018, Mr. Singh worked as a Lead Data Scientict at HARMAN Connected Services, a technologies company leader in Cloud, Mobile, Analytics Capabilities, Design and Software Services From August 2013 to July 2015 Mr. Singh worked as a Senior Research Analyst at Mu Sigma, a category-defining decision sciences and big data analytics company, helping enterprises systematize better data-driven decision making. Mr. Singh has worked with and led teams focused on algorithmic development for a variety of domains including numeric data, image processing, natural language processing. The use cases he has worked on include statistical analysis of data, building predictive models, automated tracking of activities based on surveillance videos, and classification, clustering and summary generation of feedback from social media and technical forums. Mr. Singh has also passionately worked on web based reporting technologies and actively contributes to visualization frameworks built using HTML/JavaScript and similar technologies. Mr. Singh did his MS in Physics from Indian Institute of Science Education and Research Mohali (IISER Mohali), a premier institute in India which trains students in basic sciences and instills a research methodology as a habit.Specialties: Programming, Data Analysis, Algorithm developmentSkills: Python, R, Machine Learning, Data Science, Algorithms
Hp
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Lead Data Scientist | Senior Financial AnalystHp Jan 2019 - PresentPalo Alto, Ca, UsFinance Innovation OfficeIdentify opportunities and implement methodologies to improve the financial systems for the company using data science based solutions. This includes understanding customer behaviours, evaluating pricing strategies, improving sales eciency, forecasting for supply chain management, cost forecasting.Recipient of multiple recognition and awards including the Amaze Award for Innovation. -
Data ScientistTavant Apr 2018 - Jan 2019Santa Clara, California, UsIdentify opportunities, design solutions and build PoC to deliver quality data products by using Azure services -
Lead Data ScientistHarman International Jan 2017 - Feb 2018Stamford, Connecticut, UsResponsible for strategy, architecture and implementation for Data Driven tools.Responsible for Research and Development for new tools, techniques and algorithms for Data Sciences.Responsible for Exploration and Evangalization of new and upcoming Data Science related Technologies.Responsible for Team development, and Talent development. -
Senior Data ScientistHarman International Jul 2015 - Dec 2016Stamford, Connecticut, UsPart of a team that builds algorithm backed products for clients. My primary analytical research domain is unstructured data with secondary focus on classification and clustering algorithms for structured and semi-structured data. -
Senior Research AnalystMu Sigma Inc. Jan 2015 - Jul 2015Northbrook, Il, UsPart of Algorithm Research team at Innovation and Development Lab. My tasks include research and implementation of algorithms for various use cases. The algorithms involve machine learning and video analysis.Specific Highlights:1. Human Motion Tracking systems that enables the stores to track movement of individuals through a store using security cameras (using Python + OpenCV)2. Develop proprietary algorithms to improve the accuracy of image classification (Python)3. Change detection systems for automated monitoring of on shelf availability of products in stores(Python + Scikit-learn) -
Research AnalystMu Sigma Inc. Feb 2014 - Dec 2014Northbrook, Il, UsPart of Algorithm Research team at Innovation and Development Lab. My tasks include research and implementation of algorithms for various use cases. The algorithms involve machine learning and video analysis.Specific Highlights:1. Neural Networks a. Building a multi purpose library for developing Neural Network (Python based, using OpenCL for GPU programming) b. Implementing Restricted Boltzmann Machines for recommendation systems c. Classification of image data using Deep Neural Network2. Hidden Markov Models a. Build a scalable library for training and scoring Hidden Markov Models (using R and Spark) -
Trainee Decision ScientistMu Sigma Inc. Aug 2013 - Feb 2014Northbrook, Il, UsAs a part of the product research team, I studied various mathematical techniques and implemented them for product development including Statistics, Algorithm and user interface designing. -
Physics MajorIiser Mohali Aug 2008 - May 2013Manauli, Sas Nagar, InCompleted a 5 year int. BS-MS course in Physics at IISER Mohali. The program included 4 semesters of Biology, Chemistry, Mathematics and Physics, along with other interdisciplinary courses. This was followed by 4 semesters of Advanced Physics and one final year research thesis. -
Effect Of Dark Matter On Galaxy Formation (Internship)Iiser Mohali May 2012 - Apr 2013Manauli, Sas Nagar, InThis mini-project is about effects of presence of Dark Matter on formation of Galaxies and Galaxy Clusters. It involves theoretical modelling and numerically simulating the results. -
Genetic Basis Of Learning And Memory (Internship)Iiser Mohali May 2009 - Jul 2009Manauli, Sas Nagar, InI did a summer research project here under Dr. N G Prasad. The research project was to understand the relation between learning and memory capabilities and reproductive abilities. This involved both designing and building an experimental set-up. -
Seismic Interference In A Gravitational Wave Detector (Internship)University Of Western Australia May 2011 - Jul 2011Perth, Western Australia, AuGravitational Wave detectors are very precise equipments and very sensitive "Ears". Their readings are affected by the seismic activities. My work here is to build a automated system to look for correlations between the two and to report them. -
N Body Simulation Of Dark Matter Particles (Internship)National Center For Radio Astronomy, Tifr Pune May 2010 - Jul 2010Summer Internship titled 'n-body simulation of dark matter particles in a self gravitating field and effects of initial perturbation on an evolving system'. Mostly involved programming and algorithm development for heavy computation involved in a n-body simulation.
Gagan Preet Singh Skills
Gagan Preet Singh Education Details
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Indian Institute Of Science Education And Research - MohaliPhysics -
The Shri Ram School AravaliScience
Frequently Asked Questions about Gagan Preet Singh
What company does Gagan Preet Singh work for?
Gagan Preet Singh works for Hp
What is Gagan Preet Singh's role at the current company?
Gagan Preet Singh's current role is Data Scientist | Machine Learning.
What is Gagan Preet Singh's email address?
Gagan Preet Singh's email address is ga****@****man.com
What schools did Gagan Preet Singh attend?
Gagan Preet Singh attended Indian Institute Of Science Education And Research - Mohali, The Shri Ram School Aravali.
What are some of Gagan Preet Singh's interests?
Gagan Preet Singh has interest in Children.
What skills is Gagan Preet Singh known for?
Gagan Preet Singh has skills like Astrophysics, Physics, Programming, Data Analysis, Theoretical Physics, Science, Astronomy, C, Research, C++, Numerical Analysis, Mathematical Modeling.
Who are Gagan Preet Singh's colleagues?
Gagan Preet Singh's colleagues are Tram Lam, Darryn Sneller, Shyam Saraf, Amy Hilfiker, Cathy Bensink, Amy Nanouski, Amy Demerritt.
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