This document is a curriculum vitae for Ankita Shrivastava. It includes her personal information such as address and date of birth. Her work experience includes her current role as Executive Producer at Purple Turtle where she oversees growth strategies, publishing, and licensing. She previously worked as a Coordinator at Adarsh Talking Books and Adarsh Pvt Ltd. Her education includes a Bachelor's degree in Computer Science and she is skilled in English, Hindi, Bengali, and has strong interpersonal and organizational abilities. She has received several honors and awards for her work.
Muhammad Naqash is seeking a sales position and has over 10 years of experience in sales and marketing roles. He has worked for Shan Foods Pvt Ltd since 2011 in various roles including territory sales officer, field officer, and sales representative. Naqash has a graduate degree from Shah Abdul Latif University and additional computer training. He is proficient in MS Office, email, and has knowledge of the Sukkur sales territory.
Presentació de Jordi Albó Dr. Robòtica La Salle-URL duta a terme le 17/4/13 a l'Escola Vedruna de Tona www.evt.cat (org. àrea de tecnologia, Miquel Vilaró)
This document summarizes an Irish Open Data Week event about opening up government data. It includes information about Google's Public Data Explorer tool for publishing and exploring open datasets. Tables show school enrollment data from 2009-2010 that has been cleaned and linked to additional files with school names and locations. The deployment method and available demo URL are listed.
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal...Kohei Hayashi
1) The document presents a new method called generalized factorized asymptotic Bayesian inference (gFAB) that extends previous work on factorized asymptotic Bayesian inference (FAB) to allow it to be applied to general latent variable models, not just binary latent variable models.
2) gFAB involves defining a new criterion called the generalized factorized information criterion (gFIC) that can be used for model selection. gFIC approximates the marginal likelihood and adds a penalty term involving the Hessian of the log joint distribution with respect to the model parameters.
3) gFAB can be optimized using an alternating updating procedure similar to expectation-maximization (EM) and provides an asymptotically accurate approximation to
Muhammad Naqash is seeking a sales position and has over 10 years of experience in sales and marketing roles. He has worked for Shan Foods Pvt Ltd since 2011 in various roles including territory sales officer, field officer, and sales representative. Naqash has a graduate degree from Shah Abdul Latif University and additional computer training. He is proficient in MS Office, email, and has knowledge of the Sukkur sales territory.
Presentació de Jordi Albó Dr. Robòtica La Salle-URL duta a terme le 17/4/13 a l'Escola Vedruna de Tona www.evt.cat (org. àrea de tecnologia, Miquel Vilaró)
This document summarizes an Irish Open Data Week event about opening up government data. It includes information about Google's Public Data Explorer tool for publishing and exploring open datasets. Tables show school enrollment data from 2009-2010 that has been cleaned and linked to additional files with school names and locations. The deployment method and available demo URL are listed.
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal...Kohei Hayashi
1) The document presents a new method called generalized factorized asymptotic Bayesian inference (gFAB) that extends previous work on factorized asymptotic Bayesian inference (FAB) to allow it to be applied to general latent variable models, not just binary latent variable models.
2) gFAB involves defining a new criterion called the generalized factorized information criterion (gFIC) that can be used for model selection. gFIC approximates the marginal likelihood and adds a penalty term involving the Hessian of the log joint distribution with respect to the model parameters.
3) gFAB can be optimized using an alternating updating procedure similar to expectation-maximization (EM) and provides an asymptotically accurate approximation to
Misys Capital Markets Brochure 1-27-12Mike Higgins
Misys provides capital markets solutions for trading, risk management, processing, and other functions. They have over 4,000 employees globally serving over 500 customers in 120 countries. Their suite of solutions help customers comply with regulations, manage risk, improve efficiency and grow their businesses across asset classes. Misys aims to provide leading technology and innovation through integrated front-to-back solutions.
Generalization of Tensor Factorization and ApplicationsKohei Hayashi
This document presents two tensor factorization methods: Exponential Family Tensor Factorization (ETF) and Full-Rank Tensor Completion (FTC). ETF generalizes Tucker decomposition by allowing for different noise distributions in the tensor and handles mixed discrete and continuous values. FTC completes missing tensor values without reducing dimensionality by kernelizing Tucker decomposition. The document outlines these methods and their motivations, discusses Tucker decomposition, and provides an example applying ETF to anomaly detection in time series sensor data.
Misys Capital Markets Brochure 1-27-12Mike Higgins
Misys provides capital markets solutions for trading, risk management, processing, and other functions. They have over 4,000 employees globally serving over 500 customers in 120 countries. Their suite of solutions help customers comply with regulations, manage risk, improve efficiency and grow their businesses across asset classes. Misys aims to provide leading technology and innovation through integrated front-to-back solutions.
Generalization of Tensor Factorization and ApplicationsKohei Hayashi
This document presents two tensor factorization methods: Exponential Family Tensor Factorization (ETF) and Full-Rank Tensor Completion (FTC). ETF generalizes Tucker decomposition by allowing for different noise distributions in the tensor and handles mixed discrete and continuous values. FTC completes missing tensor values without reducing dimensionality by kernelizing Tucker decomposition. The document outlines these methods and their motivations, discusses Tucker decomposition, and provides an example applying ETF to anomaly detection in time series sensor data.
1. Ankita Shrivastava
E-5/70 Arera Colony, Bhopal, India
+91 9977064979
ankita.shrivastava@aadarsh.com
Indian
08.03.1993
Female
Executive Producer
January 2015 - Present
Executive Producer
Growth strategies for Purple Turtle
Publishing Purple Turtle books
Licensing and merchandising
Franchising Purple Turtle Pre Schools.
Animation, gaming, augmented reality,
eBooks and apps
Purple Turtle
Publication and Animation
January 2015 - Present
Coordinator
Introduction of Talking Books in India, development
and marketing
Adarsh Talking Books
Publication
January 2015 - Present
Coordinator
• I.P development - Purple Turtle, Colour Fairies, Magic
Busterz, Jack/Chaos
PAGE - CURRICULUM VITAE OF Ankita Shrivastava1
Personal Information
FIRST NAME / SURNAME
ADDRESS
TEL
EMAIL
NATIONALITY
DATE OF BIRTH
GENDER
DESIGNATION
Work Experience
DATES
POSITION
RESPONSIBILITIES
EMPLOYER / ADDRESS
TYPE OF BUSINESS
DATES
POSITION
RESPONSIBILITIES
EMPLOYER / ADDRESS
TYPE OF BUSINESS
DATES
POSITION
RESPONSIBILITIES
Curriculum vitae
2. • School books class 1-8
• Augmented Reality, apps, websites
• Youtube content
Adarsh Pvt Ltd
Publication
July 2014 - October 2014
Business Analyst Trainee
Digital asset management
Wipro, Udyog Vihar, Gurgaon
Multisolutions
2011- 2015
Bachelor of Engineering
Computer Science
Technocrats Institute of Technology
1997-2011
High School Graduate
Physics, Chemistry, Maths
St. Joseph’s Convent
English
Hindi, Bengali
Interpersonal, leadership,
ethics, decision making,
public speaking competences
Supervision, coordination, risk analysis, strategising,
editing, marketing, managemen
PAGE - CURRICULUM VITAE OF Ankita Shrivastava2
Curriculum vitae
EMPLOYER / ADDRESS
TYPE OF BUSINESS
DATES
POSITION
RESPONSIBILITIES
EMPLOYER / ADDRESS
TYPE OF BUSINESS
Education and Training
DATES
QUALIFICATION AWARDED
PRINCIPAL STUDIES
INSTITUTION
DATES
QUALIFICATION AWARDED
PRINCIPAL STUDIES
INSTITUTION
Skills and Competences
LANGUAGE SPOKEN
OTHER LANGUAGE(S)
SOCIAL SKILLS AND
COMPETENCES
ORGANIZATIONAL SKILLS AND
COMPETENCES
3. Honors & Awards
•Liver Donor
•Author - ‘I hope we last’
•Purple Turtle
‣Best Animation
‣Best use of IP Finalist
London Book Fair
2015
• Adarsh Pvt Ltd
‣ Best Licensor in India- Publishing
‣ Brand Licensing and Merchandising Award,2015
ADDITIONAL INFORMATION