My professional objective is to join a values-driven organization, with potential to thrive and have maximum impact. Specific industries of interest: IT Software - Application Programming / Maintenance, IT Software - Telecom -- as well as
International Organizations working at the nexus of the sectors.
Innovations in technology has revolutionized financial services to an extent that large financial institutions like Goldman Sachs are claiming to be technology companies! It is no secret that technological innovations like Data science and AI are changing fundamentally how financial products are created, tested and delivered. While it is exciting to learn about technologies themselves, there is very little guidance available to companies and financial professionals should retool and gear themselves towards the upcoming revolution.
In this master class, we will discuss key innovations in Data Science and AI and connect applications of these novel fields in forecasting and optimization. Through case studies and examples, we will demonstrate why now is the time you should invest to learn about the topics that will reshape the financial services industry of the future!
Topics for the Masterclass
- Learning Data science in 10 steps
A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Topic: Generating Synthetic Data with Generative Adversarial Networks: Opportunities and Challenges
Limited data access continues to be a barrier to data-driven product development. In this talk, we explore if and how generative adversarial networks (GANs) can be used to incentivize data sharing by enabling a generic framework for sharing synthetic datasets with minimal expert knowledge.
We identify key challenges of existing GAN approaches with respect to fidelity (e.g., capturing complex multidimensional correlations, mode collapse) and privacy (i.e., existing guarantees are poorly understood and can sacrifice fidelity).
To address fidelity challenges, we discuss our experiences designing a custom workflow called DoppelGANger and demonstrate that across diverse real-world datasets (e.g., bandwidth measurements, cluster requests, web sessions) and use cases (e.g., structural characterization, predictive modeling, algorithm comparison), DoppelGANger achieves up to 43% better fidelity than baseline models.
With respect to privacy, we identify fundamental challenges with both classical notions of privacy as well as recent advances to improve the privacy properties of GANs, and suggest a potential roadmap for addressing these challenges.
X api chinese cop monthly meeting feb.2016Jessie Chuang
Topics
XAPI Vocabulary spec. From ADL
Linked Data / Semantic web. / Web 3.0
Linked Data in education and content recommender
Semantic search and Google Knowledge Graph
APIs eat software (connect with partners and services)
How should we exploit data and build intelligence layer?
Case Study (Hong Ding Educational Technology)
Monetize your data and add value (intelligence)
Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.
I am having 6 years of experience in Java Programming.Involved in building Java web applications which are scalable for cloud infrastructure.Good experience in RDBMS database and NOSQL database MongoDb. Good knowledge in REST API design.Worked in Business Intelligence,Financial domain.
My professional objective is to join a values-driven organization, with potential to thrive and have maximum impact. Specific industries of interest: IT Software - Application Programming / Maintenance, IT Software - Telecom -- as well as
International Organizations working at the nexus of the sectors.
Innovations in technology has revolutionized financial services to an extent that large financial institutions like Goldman Sachs are claiming to be technology companies! It is no secret that technological innovations like Data science and AI are changing fundamentally how financial products are created, tested and delivered. While it is exciting to learn about technologies themselves, there is very little guidance available to companies and financial professionals should retool and gear themselves towards the upcoming revolution.
In this master class, we will discuss key innovations in Data Science and AI and connect applications of these novel fields in forecasting and optimization. Through case studies and examples, we will demonstrate why now is the time you should invest to learn about the topics that will reshape the financial services industry of the future!
Topics for the Masterclass
- Learning Data science in 10 steps
A conversation with Quants, Thinkers and Innovators all challenged to innovate in turbulent times!
Join QuantUniversity for a complimentary summer speaker series where you will hear from Quants, innovators, startups and Fintech experts on various topics in Quant Investing, Machine Learning, Optimization, Fintech, AI etc.
Topic: Generating Synthetic Data with Generative Adversarial Networks: Opportunities and Challenges
Limited data access continues to be a barrier to data-driven product development. In this talk, we explore if and how generative adversarial networks (GANs) can be used to incentivize data sharing by enabling a generic framework for sharing synthetic datasets with minimal expert knowledge.
We identify key challenges of existing GAN approaches with respect to fidelity (e.g., capturing complex multidimensional correlations, mode collapse) and privacy (i.e., existing guarantees are poorly understood and can sacrifice fidelity).
To address fidelity challenges, we discuss our experiences designing a custom workflow called DoppelGANger and demonstrate that across diverse real-world datasets (e.g., bandwidth measurements, cluster requests, web sessions) and use cases (e.g., structural characterization, predictive modeling, algorithm comparison), DoppelGANger achieves up to 43% better fidelity than baseline models.
With respect to privacy, we identify fundamental challenges with both classical notions of privacy as well as recent advances to improve the privacy properties of GANs, and suggest a potential roadmap for addressing these challenges.
X api chinese cop monthly meeting feb.2016Jessie Chuang
Topics
XAPI Vocabulary spec. From ADL
Linked Data / Semantic web. / Web 3.0
Linked Data in education and content recommender
Semantic search and Google Knowledge Graph
APIs eat software (connect with partners and services)
How should we exploit data and build intelligence layer?
Case Study (Hong Ding Educational Technology)
Monetize your data and add value (intelligence)
Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.
I am having 6 years of experience in Java Programming.Involved in building Java web applications which are scalable for cloud infrastructure.Good experience in RDBMS database and NOSQL database MongoDb. Good knowledge in REST API design.Worked in Business Intelligence,Financial domain.
Seeking a challenging position to utilize my quantitative and data interpretation skills complementing with my knowledge of Technology and Management to excel in areas of Analytics and Digital Marketing; which will nurture and bring forth the best I can offer to the organization, self & society
1. RAJAT GUPTA
J 76-A Patel Nagar, City Centre E-mail: rajatgupta063@gmail.com
Opposite to Gokul Apartment, Phone: 8886312330, 8447501621
Gwalior – 474011, M.P.
OBJECTIVE
To obtain a creative and challenging position in an organization where I can contribute towards the
growth of the organization with my excellent technical & analytical skills and be an important asset
for the company.
PROFILE SUMMARY
● Solutions driven candidate with excellent technical, communication & presentation skills.
● Good understanding of Software Development Lifecycle (SDLC).
● Strong knowledge of Data Structure and Algorithms.
● Experience in creating SQL queries using joins and have good knowledge of database
concepts.
● Experienced in creating Academic projects using industry standard languages & RDBMS tools
such as PHP , Python and Oracle .
● Experienced in using in demand database tools such as Oracle, Mongo Shell.
● Industrial Experience in writing lots of Production code in Java.
● Team player with excellent motivational abilities, and ability to work under pressure.
Experience
1st february 2016 - 29th july 2016
Amazon Development Center, Hyderabad - Software development Engineer - Intern
● Part of Commercial Carrier and Technology Team(Ship with Amazon).
● Worked on the Designing as well as on the Implementation of on boarding easy-ship
shipments to CASE (Contract Aggregation and Signing Engine)
● Wrote around 4k lines of Production code in Java.
1st June 2015 - 20th july 2015
Indian Institute Technology,(IIT), Delhi - Research Intern
Worked on the implementation of various techniques of Feature Selection a part of machine learning
such as forward selection algorithms, backward elimination algorithms and these algorithms were
implemented on given data sets.
A data set is a collection of data. Most commonly a data set corresponds to the contents of a single
database table, or a single statistical data matrix, where every column of the table represents a
particular variable, and each row corresponds to a given member of the data set in question.The
2. 2
simplest algorithm is to test each possible subset of features finding the one which minimizes the error
rate.
Education
15th july 2012 - 29th june 2016
Jaypee Institute of Information Technology, Noida- B.Tech (CSE)
CGPA : 8.2
1st april 2011 - 29th may 2012
Pragati Vidya peeth, Gwalior- Class XII (CBSE)
Percentile score : 88.2%
1st april 2009 - 29th may 2010
St. Paul’s School, Gwalior- Class X (CBSE)
CGPA : 9.4
Achievements
● Scored 78 percentile in MongoDB course certified by MongoDB University.
● Ist in Autonomous Robotics Event 2013.
● 9th in JIIT programming contest in Nov, 2014.
● 63rd in Knuth Cup Qualifier on Hackerrank in March 2015.
● 11th in Onsite Knuth cup Held in JIIT sec 62 in March 2015.
Academic Projects
MetaData based Classification of youtube videos july 2015 - December 2015
We intend on presenting a solution based on mining YouTube to discover videos that are
classified into five categories such as Ragging, Psychological Harassment, Extremists,
Suicidal Attack, Domestic Violence. Furthermore, the videos in each category are classified
at one more level positive and negative harassment videos based on decision tree classification
algorithm. The implementation for classification algorithm as well the script for retrieving the data
sets was done in python.
Threshold Secret Sharing Jan 2015 – April 2015
Using Socket Programming in Python and Shamir’s algorithm a platform was created from where a
user can send a message to other users specifying the threshold to be followed and the message was
divided among all participants by sending each share to each participant and it was ensured that
message only decrypts once specified threshold number of participants disclose their share
3. 3
Recruitment Park Aug 2014 – Dec2014
This Project is a Web based Application for both recruiters and applicants . Recruiters can post
vacancies for the applicants and compare applicants profile with their respective id's and applicants
can search for the vacancies posted by recruiters . This application was build using PHP ,MYSQL ,
HTML/CSS.
Travel and Tourism Planning Jan 2014 – May 2014
A System which minimizes the travel cost of the user using Dijkstra's Algorithm. It calculates distance
between two destinations and calculate the cost incurred by using different modes of transport in
order to minimize distance as well as time and cost. It was implemented in C.
Database Design for Blood Bank Management Aug 2013-Dec 2013
A part of Database Course project Database system was made using MySQL which helps to perform
basic Operations for inserting, updating, retrieving, deleting and searching relevant records. Design
of a database to store and organize information such as doctor’s availability, donor details, staff
details, Blood bank details.
Technical Skills
Languages/Framework : C, C++, Java, Python(Intermediate), PHP, HTML ,CSS
Database : Oracle , MySQL, Mongo Shell, Dynamodb, SQS queues
Tools and Utilities : MS Office, MS PowerPoint, GIT
Operating Systems : Linux , Windows 8, Windows 7, Win XP.