About
As a product manager at Amazon, I lead the product strategy and roadmap for seller…
Articles by Tannishk
Contributions
Activity
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🚀 🚀 🚀🚀 Building and scaling a great team is at the heart of any company's success. It’s not just about having individuals who are skilled at what…
🚀 🚀 🚀🚀 Building and scaling a great team is at the heart of any company's success. It’s not just about having individuals who are skilled at what…
Liked by Tannishk Sharma
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With the growing look inward policy going across the world . Its so important to invest across the world 1) How to invest in US? You can buy S&P…
With the growing look inward policy going across the world . Its so important to invest across the world 1) How to invest in US? You can buy S&P…
Posted by Tannishk Sharma
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Wearing your Resumé! In many conferences I've attended in Asia, more often than not, am just a direct or a step one connection to people I end up…
Wearing your Resumé! In many conferences I've attended in Asia, more often than not, am just a direct or a step one connection to people I end up…
Liked by Tannishk Sharma
Experience
Education
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• Part of a team responsible for developing context, slides , practical examples for Machine Leaning with Python course ( http://scholar.stanford.edu/ml.html )
• Prepared a short Research Talk on VizWiz : Nearly Real time answers to visual question (http://scholar.stanford.edu /index.html )
• Language/Framework Used: Python , Sklearn , Scipy , Numpy , Matplotlib -
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Courses Taken : Data Structures and Algorithms , Operating System , Computer Networks , Theory of Computation
Competitions Taken Part in : ACM ICPC IIT Kanpur , TCS CODE VITA 304 AIR, Google CodeJam, 11k AIR
Licenses & Certifications
Publications
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An empirical study of Classification Algorithms for the diagnosis of Hepatitis
IEEE
As per the study a lot of work has been done for the diagnosis of hepatitis disease using classification algorithms. The biggest problem for the scientist is to choose the algorithm for the task of classification. Earlier studies states that under different circumstances the performances of classifiers’ vary in detection of diseases. In this paper we the authors use various classification algorithms for the analysis of hepatitis dataset. The results of classification model are based on time…
As per the study a lot of work has been done for the diagnosis of hepatitis disease using classification algorithms. The biggest problem for the scientist is to choose the algorithm for the task of classification. Earlier studies states that under different circumstances the performances of classifiers’ vary in detection of diseases. In this paper we the authors use various classification algorithms for the analysis of hepatitis dataset. The results of classification model are based on time, accuracy, recall, F-score and support.
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Fuzzy Logic based Information Retrieval System
IEEE
Information retrieval systems are meant to deal with different documents of variable length and content. A fuzzy based system which involves non-linear mapping of crisp inputs and produces crisp outputs after fuzzification and defuzzification is being used to characterize and normalize the text. This paper illustrates an implementation of an efficient Information Retrieval System to evaluate the resemblance between a dataset and a query. The query system uses Fuzzy logic. Text Retrieval…
Information retrieval systems are meant to deal with different documents of variable length and content. A fuzzy based system which involves non-linear mapping of crisp inputs and produces crisp outputs after fuzzification and defuzzification is being used to characterize and normalize the text. This paper illustrates an implementation of an efficient Information Retrieval System to evaluate the resemblance between a dataset and a query. The query system uses Fuzzy logic. Text Retrieval Conference Dataset is used for the same. A Clinical dataset is parsed to generate key word indices that is used for similarity comparison for every user query. Each of the user query gets a score value assigned based on its fuzzy similarity with the index keywords. This score value is used to extract the relevant documents. The collection of data includes queries, term frequencies, inverse document frequencies and the language model for Information Retrieval.
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Sortie Sorting
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
Almost all computers regularly sort data. Many different sorting algorithms have been proposed. It is known that no sort algorithm based on key comparisons can sort N keys in less than O (N log N) operations and that many perform O(N2) operations in the worst case .
This paper is aimed at proposing a new sortie tree data structure, which can be used for the sorting of data. This algorithm that implements a sortie tree data structure is a non-comparative sorting algorithm. -
E-Voting using Homomorphic Encryption Scheme
International Journal of Computer Application
A manual voting system can be time consuming and cumbersome and takes a lot of time. With the rapid development of Information Technology an E voting system tends to overcome all these limitations. E voting is fast and helps us to cast our vote from any location. One of the main concern of then E-Voting System is security. In this paper we propose an E-Voting System using Paillier Homomorphic Encryption Scheme which is used to provide security to the voting system and in turn help us to…
A manual voting system can be time consuming and cumbersome and takes a lot of time. With the rapid development of Information Technology an E voting system tends to overcome all these limitations. E voting is fast and helps us to cast our vote from any location. One of the main concern of then E-Voting System is security. In this paper we propose an E-Voting System using Paillier Homomorphic Encryption Scheme which is used to provide security to the voting system and in turn help us to manipulate and transfer data in encrypted form making it impenetrable. Here We use the Paillier Encryption Homomorphic property that allows us to add the votes in encrypted form. The online voting is more reliable than the traditional system and is able to save to save the time
Courses
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Applied Mathematics
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Computer Graphics
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Data Structures
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Database Management System
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Discrete Mathematics
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Object Oriented Programming Language
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Programming in c
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Theory of computation
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Unix
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Projects
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Emotion Detection using Text
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Predict the emotions Anger , Disguist , Fear , Guilt , Joy , Sadness , Shame . Achieved an accuracy of 65% using a weighted novel approach using Python , Sklearn , NLTK etc
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Intranet Chat
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In this project i made an intranet chat which facilitate people to talk to each other over the LAN using socket programming and GUI was developed using swings
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Php web cart
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A Small E commerce website built in php and mongodb used as database with bootstrap in front end
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Predicting House will be sold or not
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Analysing san francisco housing data set using Logistic regression and predicting whether it will be sold in next 6 months or not
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Quiz Application
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Developed a quiz application using bootstrap and javascript
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Stock Market Prediction
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Data Scraped from Yahoo Finance of SP 500 Stocks. Prediction of Stock Market using SVM. Achieved an Accuracy of 73.1% with RBF Kernel . Compared Various Kernels on parameters like time, efficiency , F Score , Precision ,Recall etc. . Conducted Sample Trades using Python, Sklearn.
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Yureka
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We scrap the textual data from the Web page provided and give its summary , Category and Hash tags which can be used on social networking platforms and Fog Index
Honors & Awards
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Junction Winner
Accenture
We won the VR track of Accenture, where we built the VR solution to provide therapy to patients with empathy.
Languages
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English
Full professional proficiency
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Hindi
Native or bilingual proficiency
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French
Limited working proficiency
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Spanish
Elementary proficiency
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