Rohit Nagpal is seeking a position as a trainee decision scientist. He has over 12 months of experience in analytics at Mu Sigma Business Solutions, where he supported a large retail client by analyzing data to improve store performance and optimize processes globally. Some of his key projects included test and control analysis, front-end analysis, customer segmentation, and automating reporting using VBA. He has strong skills in databases, querying, programming, reporting tools, and statistics.
Hierarchical Temporal Memory: Computing Like the Brain - Matt Taylor, NumentaWithTheBest
Most of today's AI technologies are extensions of ANN models that were envisioned twenty years ago. While they have some amazing capabilities, they are not truly intelligent. To attain truly intelligent machines, our approach is to understand the only thing we can all agree is intelligent today: the human brain. HTM is an AI technology that is biologically-constrained. All major algorithms at work in an HTM system were uncovered by years of intensive neuroscience research. In this presentation, I'll describe the major mechanism of HTM at a high level, and lay a path towards the future of truly intelligent machines. http://numenta.com/open-source-community/
Matt Taylor, Numenta
Hierarchical Temporal Memory: Computing Like the Brain - Matt Taylor, NumentaWithTheBest
Most of today's AI technologies are extensions of ANN models that were envisioned twenty years ago. While they have some amazing capabilities, they are not truly intelligent. To attain truly intelligent machines, our approach is to understand the only thing we can all agree is intelligent today: the human brain. HTM is an AI technology that is biologically-constrained. All major algorithms at work in an HTM system were uncovered by years of intensive neuroscience research. In this presentation, I'll describe the major mechanism of HTM at a high level, and lay a path towards the future of truly intelligent machines. http://numenta.com/open-source-community/
Matt Taylor, Numenta
NYAI #5 - Fun With Neural Nets by Jason YosinskiRizwan Habib
Fun With Neural Nets - (Jason Yosinski, Researcher at Geometric Intelligence)
Jason Yosinski is a researcher at Geometric Intelligence, where he uses neural networks and machine learning to build better AI. He was previously a PhD student and NASA Space Technology Research Fellow working at the Cornell Creative Machines Lab, the University of Montreal, the Caltech Jet Propulsion Laboratory, and Google DeepMind. His work on AI has been featured on NPR, Fast Company, the Economist, TEDx, and on the BBC. When not doing research, Mr. Yosinski enjoys tricking middle school students into learning math while they play with robots.
Jason will talk about how deep neural networks have recently been making a bit of a splash, enabling machines to learn to solve problems that had previously been easy for humans but hard for machines, like playing Atari games or identifying lions or jaguars in photos. But how do these neural nets actually work? What do they learn? This turns out to be a surprisingly tricky question to answer — surprising because we built the darn things, but tricky because the networks are so large and have many millions of connections that effect complex computation which is hard to interpret. Trickiness notwithstanding, in this talk we’ll see what we can learn about neural nets by looking at a few examples of networks in action and experiments designed to elucidate network behavior.
Website: http://yosinski.com/
There is a great deal of interest in the rise of makerspaces and other sites of autonomous creative production. Can this energy be harnessed to power civic regeneration, and help create more liveable urban spaces? This talk draws on some research I co-authored for Nesta to set out an overview of where makerspaces came from, where they are now, and how they might contribute to the development of urban spaces.
We are fast growing and leading ITES industry based company in Dehradun, Uttarakhand. We run both voice and non-voice projects at our premises. We undertake jobs related to web-page designing, digitization, data processing, product enterprise management, search engine optimization, data entry jobs. We have capacity of 150 seats currently. We are interested in business development & expansion.
JC World is the first retail venture at Wishtown, Noida. It is situated in sector 128 at Jaypee Greens,Wishtown Noida (strategically located at junction of sector 128 and the institutional sector 132). Thus,it Is connected to civilization on both sides of Noida-Greater Noida expressway, through the four leaf clover structure. JC World is aimed to be a place which is known by the experience in Shopping, Dinning, Entertainment, Events and Activities and ultimately sum total of all such things presented and enjoyed daily in a cohesive, dynamic and in an interactive manner.
Polish children's story--Memory Of The Pale Avi Dey
A Polish Children’s Story from Old Calcutta, India. Shetle was a small town Jewish culture survived to 19th Century eastern Europe. Looking inward, in face of persecution of Czarist Russia, Hebrew culture survived somehow to modern day. No doubt Joseph in my Old Calcutta childhood’s Children Story lived in such Shtetle small town in Poland.
NYAI #5 - Fun With Neural Nets by Jason YosinskiRizwan Habib
Fun With Neural Nets - (Jason Yosinski, Researcher at Geometric Intelligence)
Jason Yosinski is a researcher at Geometric Intelligence, where he uses neural networks and machine learning to build better AI. He was previously a PhD student and NASA Space Technology Research Fellow working at the Cornell Creative Machines Lab, the University of Montreal, the Caltech Jet Propulsion Laboratory, and Google DeepMind. His work on AI has been featured on NPR, Fast Company, the Economist, TEDx, and on the BBC. When not doing research, Mr. Yosinski enjoys tricking middle school students into learning math while they play with robots.
Jason will talk about how deep neural networks have recently been making a bit of a splash, enabling machines to learn to solve problems that had previously been easy for humans but hard for machines, like playing Atari games or identifying lions or jaguars in photos. But how do these neural nets actually work? What do they learn? This turns out to be a surprisingly tricky question to answer — surprising because we built the darn things, but tricky because the networks are so large and have many millions of connections that effect complex computation which is hard to interpret. Trickiness notwithstanding, in this talk we’ll see what we can learn about neural nets by looking at a few examples of networks in action and experiments designed to elucidate network behavior.
Website: http://yosinski.com/
There is a great deal of interest in the rise of makerspaces and other sites of autonomous creative production. Can this energy be harnessed to power civic regeneration, and help create more liveable urban spaces? This talk draws on some research I co-authored for Nesta to set out an overview of where makerspaces came from, where they are now, and how they might contribute to the development of urban spaces.
We are fast growing and leading ITES industry based company in Dehradun, Uttarakhand. We run both voice and non-voice projects at our premises. We undertake jobs related to web-page designing, digitization, data processing, product enterprise management, search engine optimization, data entry jobs. We have capacity of 150 seats currently. We are interested in business development & expansion.
JC World is the first retail venture at Wishtown, Noida. It is situated in sector 128 at Jaypee Greens,Wishtown Noida (strategically located at junction of sector 128 and the institutional sector 132). Thus,it Is connected to civilization on both sides of Noida-Greater Noida expressway, through the four leaf clover structure. JC World is aimed to be a place which is known by the experience in Shopping, Dinning, Entertainment, Events and Activities and ultimately sum total of all such things presented and enjoyed daily in a cohesive, dynamic and in an interactive manner.
Polish children's story--Memory Of The Pale Avi Dey
A Polish Children’s Story from Old Calcutta, India. Shetle was a small town Jewish culture survived to 19th Century eastern Europe. Looking inward, in face of persecution of Czarist Russia, Hebrew culture survived somehow to modern day. No doubt Joseph in my Old Calcutta childhood’s Children Story lived in such Shtetle small town in Poland.
1. ROHIT NAGPAL
Trainee Decision Scientist
E-mail: rohitnagpal92@gmail.com Mob: +91 9620900209
Objective
To work on challenging projects in Analytics field and provide an efficient and effective solution that will help
the organization to achieve the best solution in market
Work Experience
• Over 12 months of experience (From May,2015 to present) as a Trainee Decision Scientist at Mu Sigma Business
Solution Pvt. Ltd., a leading analytics firm to support decision-making across varied domains
• Supporting world largest Retail Giant in improving performance and optimizing processes all-round the globe
• Received appreciations from client and onsites for on time deliverables with good quality work
Positions of Responsibility
• A dedicated team member who helped analyze, solve and generate insights for business problems
• Documentation of the reports and the business process through identification of requirements
• Prepared and presented the Tableau Dashboards and PowerPoint Presentations to represent the insights to the
clients for the end consumption
Key Projects
Worked on various projects to improve the performance of stores of world largest Retail Giant under Global
Business Processes team (Retail):
• Test & Control/Pre vs. Post Analysis
Description:
o The main objective of this analysis is to study the change in performance of stores when any change in the
process or condition (like installation of new cash counter) is implemented; these stores are referred to as
Test Stores. This Test & Control analysis also helps to consider the effect of seasonality
Projects Handled:
o Helped US team to analyze and understand the distribution of returned items across different tender types
with the profit/loss margin they incurred for the same
o For Mexico team, determined Test Stores so that they can implement some changes in the stores and
further can analysis the effect of these changes
o Helped Canada Team to study the effect of implementation of Self Checkout Registers across different
basket metrics and front end metrics
• Front End Analysis and Ideal Register Analysis
Description:
o The main objective of this analysis is to optimize the front end processes of the stores. In front end analysis
different metrics like queue length, waiting time, processing time, utilization of cash counter (registers) are
calculated using Queuing Theory. Based on the results of above metrics Ideal Register Analysis is performed
Projects Handled:
o For Mexico team decided the ideal number of registers required in each store and workload distribution
among different types of register
o Also, helped Canada Team to study the effect of implementation of Self Checkout Registers across different
basket metrics and front end metrics
2. • Customer Segmentation Analysis
Description:
o The objective is to analyze the purchase patterns of customers and providing the next steps to focus on
Average and Low value customers. High, Average and Low value customers are determined by the spend per
household
Projects Handled:
o For the US team, performed the customer segmentation analysis to prove the hypothesis that Rx shoppers
are more valuable as compare to Non Rx shoppers
o Also, analyze the purchase patterns of Diabetic and Non-Diabetic Customers for the US team, thus helped
them in making decisions regarding the items that should be recommended to Diabetic Customers
• Automation using VBA
Description:
o The objective of creating the automation tool using VBA is to reduce the time require to do the same work
multiple times. For the projects which require refreshing the data every week, VBA tool is made such that
the data pull is done from Teradata server by VBA and the pulled data is get placed to the respective files in
the desired format to generate the output report files
Projects Handled:
o Automated the entire process of the project for the US team using Excel(VBA)
o Automated the report to be sent to Canada Team every week representing the effects of implementation of
Self Checkout Registers
Technical Skills
Databases : Teradata, MySQL
Querying language : SQL
Programming Languages : C/C++ (Basic), R (Basic), SAS (Basic)
Scripting Languages : VBA
Reporting Tools : Excel (Advanced), Tableau (Advanced)
Packages : MS Office, AutoCAD (Basic), Solidworks (Designing)
Others Knowledge : Linear Regression Analysis (Basic), Statistics Analysis
Education
Degree Institute Board / University Year CGPA / % Marks
B. Tech (Mech) University Institute of
Technology
Panjab University,
Chandigarh
2011-2015 9.00
Intermediate K.V.No.1 AFS Hindon,
Ghaziabad
CBSE 2010-2011 88.60
Matriculation K.V.No.1 AFS Hindon,
Ghaziabad
CBSE 2008-2009 92.20
Achievements
Technical
• Member of Technical Team of EFFICYCLE 2012, CONDUCTED BY MARUTI ACROSS ALL OVER THE COUNTRY
• Runner up in Transporter Event in VYOM Punjab Engineering College(PEC) Fest2012
• Grabbed 2nd Position in Technoroadies in AAVISHKAR U.I.E.T Fest 2012
• Participated in Robo Rally and Robo Wars in AAVISHKAR U.I.E.T Fest 2012
• Grabbed 3rd
position in Robo Wars in VYOM Punjab Engineering College(PEC) Fest 2013
3. Others
• College topper in Mechanical Branch in all 4 years
• Received a certificate of Academic Excellence
Strengths
• Analytical and logical skills
• Problem solving skills
• Visualization/Front-end designing
• Ability to adapt and accept change
• Team Player
• Self motivated
• Determined
Interests/Hobbies
• Listening Music
• Playing Volleyball
• Cooking
Languages Known
• English
• Hindi
• Punjabi
