 Let me introduce myself. I am Zaina, one of the co-founders of ASCII. This is Nigel. Nigel is working because of ASCII, he is part of the team. And thanks for coming. This is a really great turnout. Naveen, what do you think? Very good. Yay! Okay, so let me just quickly briefly introduce you to why we decided to do the hack night. And then I am going to let Naveen and Pimush sort of lead the way. So, as everybody knows, this hack night is part of a larger event for the future elephant. I am Manoj Patil. I am working in Compassage of Resolutions. And we saved their company's focus, which is in major focusing areas are enablement of elastic cloud, big data analytics and generalization of IT. And I am heading big data analytics. So, I mean, you have to learn something which I am not aware of or which I am not aware of. I am Manoj Patil. I am from Mumbai. I am working in Dialect Act. It is an advertising company. I am working as a web developer in ASCII. Hi, I am Ankit. I run the app for Comparify.com. Comparify.com is the largest company in the UK. It is a price comparison in India for telecom services. We want to find a good mobile plan, a great better and so on. So, we actually are from Chennai. We are sort of Chennai. We are here for a friend's wedding. We are from Dubai. I will just start a base. Oh, you got that. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. I am Jigar. We have an application on Salesforce. It is the Sets and SEO SMS on the Salesforce. So, it is quite popular among the Salesforce customers. And now we want to register in the social and advertising business. So, right now I propose an idea. Get me an apartment. So, basically, throughout this running the startup, we were actively researching apartments for ourselves, for our company. And it was a kind of search. And we always had to shut up with the agents. So, I haven't seen a way where I can look out for the various apartments. I feel like these apartments are supposed to come outside. Can I find a room inside that? So, I just want to get an apartment in this business. And someone who has apartments in those buildings can say, I have this apartment and I want to give it for this place. You have to manage these things and get this specific data. So, that is kind of an idea we have. So, can anyone sign that? Hi everyone, my name is Deeperit Kare. So, I am not ready to give it as such in any case. So, right now we have something called HCEC. They are a performance engineer for us. And we made some kind of package solution for windows, windows and others. And I have quite few of them. We are going to sit like one of them. Deeper is the manager. Then the other one is the president who drives the start-up. And the other one is the movie star. Let's see. Hi, I am Sallit. I work for Granddad Digital Software Engineering. I joined today this year at night. So, I am trying to work on titan, the parallel wicket of the city, titan with Nikhil Vajramashtri. So, let's see how it goes. Hi, I am Sriyanka. I work as a natural software engineer. I am kind of a better developer and I work a lot of heavy things. So, I thought, I saw a business as a part of the entire industry and I was working on a lot of data. I was using motobiz at the time, but now, motobiz has been kind of based out of D3 and D4. I have been taking out D3 today. If I should be able to have any data which you think you could visualize in a particular way, I am going to let you know. Let's look forward to working with you. Hi, I am Miriam. I am running technology and mobile improvement planet limited. We are basically a technology and media company. We provide in-travel and improvement systems to cats, buses and private cars, radio cats and all of them. So, we are expecting a lot of data in terms of usage patterns, GPS coordinates from all the, from data fleets. That is why I am in need of it. So, my name is Jaydev Dushmati. I am an intern in thought when I work on the scientific computing side of data analysis. I have suggested a couple of, I have suggested one project and there is another certain issues project which I am interested in. The one that I suggested was the IEEE ICD of data mining contest. It's a crowd sourcing project posted by Kagan. We have the training data set consists of a number of user generated views and we have a task is to match the right product from those user sets to the products in a given catalog. My name is Gaurav Shrijinder and we have raised Kaldapa. I have worked on an NIS for microfinance institutions. It was a cloud hosting solution that gives to microfinance institutions. I have no idea about cloud computing so whatever it is I have no technical details at all. So, I am open to any ideas if anybody could vector me or if anybody could just tell me what you have on this project so I will take it now. And I will... I am Nikhil Nanjibar. I work with your actually it's a product shackle. It's an internet consumer product. I need engineering expertise and I actually have a recommendation engine for early job seekers. So, the problem we are trying to solve is right now the job market is in India. So, whatever web products you see out there all they are serving lack of hires. So, whenever someone wants to start a job we get a lot of results for one year experience or two year experience of the world. But the pressure of the job market is still underserved. So, what we are doing is we are trying to build a recommendation engine which considers three dimensions of the user. What is the social profile one of the factual information that the user gives and there is some psychometric element to it. So, we are combining all that together we are selecting lower data for the user and processing it. The vision of the company is to improve the matchmaking between an employer and the user. Hey, hello, hello already. I am Priyanka Chaubey. I am a part of Simversity. I just joined Simversity just ten years ago. I am sitting here. I am here for writing some new tools to help have some ideas about what I am doing here. Let's extract as much as I can. That's all. Whatever the ideas we are doing is the reason for that. So, all of us here we are at Simversity.com basically. We are an online social learning registry. You can check out the results in seven hours. So, what we are planning to do is not basically pick out any tool or any particular let's say license or a loop or et cetera. There are just tools. We will explore. We were working with a similarity and search board for us at our quarter. And we end up with a couple of problems. And we realized that this unique claim comment used was not to be sorted on a regular basis. Understanding how they really work is more important. To start with, there is a bunch of logs that we get from CloudFront. There is a huge amount of logs that we put request. I think I am going to start with that. See what the request that we made. We are going to store it over some database since we pretty normally use all the databases we have. But we wanted to store its base for that. So that would be the database. And choice of language shall be go. The whole app. And I don't know whether the connector is available for its base or not at the moment. Let's see how it goes up. So, that's the client area. So, grab all the logs. They are available in GZ. So, unzip them, push it to a database, and then start analyzing how and who will use what we are saying, what is the video that was used, et cetera. So, grab basic concept. I am Chidnai. I am a student. I am studying at IIT Madras. I was doing an internship at the University. We are going to learn something. I am Harsh. I work at the University. I am a student. And I mostly have come to Python. But these days my first language I can say is JavaScript. In terms of database and big data, I am very new. As much as that I cannot tell that when a dataset is writing down as big data. So, I am there to get answers to those questions and make some big sense out of being there. That's all I hope that you will be able to experience. Hi, I am Jayanthi. I am working at the University. I joined the work path and here I am to learn how big data is built and what scale we have to do. Hi, I am Prathamesh. I am working for Betterlabs as Ruby on Rails developed. I am new to big data. I haven't done anything with big data. But I had to propose an idea of social networking graph which is like you can prepare a graph of different social networks and you can plot people on it. You can extract the data from different social networks and it was just an idea but I don't know how to implement it. So, I am here to learn how big data works and how I can go ahead with that idea. My name is Jethish. I work at Betterlabs as Ruby on Rails engineer and their Betterlabs basically works into email campaigns, email, online marketing, lead generation. B2B lead generation is the main task. I had suggested an idea of gift recommendation via Facebook. Basically, let's say you've got a friend and you want to gift them something or just get a spam base. So, basically, you analyze the likes, profile skills and try to recommend a gift which can be attached to an e-commerce system. Basically, this was just an idea that I had proposed. Basically, I am here to learn and I would like to work on Prathamesh's idea and even the other idea of Twitter to get the verdict of a movie via Twitter. So, these are the three ideas I was looking for. I am Swash Patalya. I am a student at the Symbiosis SIS. We have deep data mining and data warehousing in the current semester as a subject. We are learning it with Arthur Browning. Hi, I am Mukesh. I am working as a behind-the-scenes for a pragmatic. Well, most of you would have heard about pragmatic. But I have tried pragmatic this six months back so I am not doing the full stuff there. Some other people have been there. I have basically screened up. So, basically, I am working on niche technologies here which consists of multi-dimensional databases where you can hold some amount around 100 GB of data and have a very big firm. So, when I came here, we have had four terabytes of data so that terminology of big thing was not a name on my mind. So, I am learned to learn and I am not here as a geek and basically I would call it the enthusiastic category which is what we are doing. Hi, my name is Kiran. I am working in Travis Scott Solutions as a module lead. Basically, I am expecting a couple of devs. I think they are my most followers. Just waiting for that. Yeah. That's awesome. Hi, my name is Navin Cabra. I am a founder of releaseco.com where we are trying to build an engine which can be an online evaluation of your programming skills. So, we put up problems. You solve the problems. You put up the program in different programming languages of your choice and then we will evaluate another bunch of tests against it and then give a score depending on how good your program is at. So, I had suggested a couple of projects based on the data we have collected at what one of them. So, the first project was Twitter reviews. So, on Twitter, there are lots of people continuously talking about movies. As soon as they watch a movie, they send out a tweet saying whether they like it or not. Many times they send it out even before they have finished watching the movie. So, that's a lot of useful data which is not directly useful because it is not collected and automated. As a human, you can search and you can get a feel for it but that's not good enough. So, the question is for any given movie, if you search on Twitter, you get all the tweets. Can you figure out which of these tweets are relevant and which are not relevant? Which of them are reviews or which are not reviews? Then, of the tweets which are actually reviews, which ones are a positive review of the movie and which ones are a negative review of the movie?