Submissions are closed for this project
All submissions
Continuous online learning for classification tasksSaurabh Arora (@tanish2k)
Section: Full talk
Technical level: Intermediate
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Leveraging Streaming Systems for Machine LearningVipul Gupta (@vipulgupta)
Section: Crisp talk
Technical level: Intermediate
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Intuit’s Data journey to Public cloudAbhishek Jain (@abhi111jain)
Section: Crisp talk
Technical level: Intermediate
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Distributed Computing Abstractions for Big Data ScienceVijay Srinivas Agneeswaran, Ph.D (@vijayagneeswaran)
Section: Full talk
Technical level: Intermediate
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Data Simulation as a means to intuitively grasp Statistics and it's direct application to prediction problemsLakshman Prasad (@becomingguru)
Section: Full talk
Technical level: Beginner
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Introduction to Statistics and Basics of Mathematics for Data Science - the hacker's wayBargava Subramanian (@barsubra)
Section: Workshop
Technical level: Beginner
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RNNs for multimodal information fusionOm Deshmukh (@omdesh)
Section: Crisp talk
Technical level: Intermediate
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Building a scalable Data Science Platform ( Luigi, Apache Spark, Pandas, Flask)Nischal HP (@nischalhp)
Section: Workshop
Technical level: Intermediate
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How Intuit solved big scan problem in real timeAshish Jain (@toashishj)
Section: Crisp talk
Technical level: Beginner
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Distributed change data capture platformChandraprakash Bhagtani (@cpbhagtani)
Section: Full talk
Technical level: Intermediate
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Don’t just build a data lake, build data powerhouse.Akash Mishra (@sleepythread)
Section: Full talk
Technical level: Intermediate
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Bootstrapping inspired by Hacking Human CognitionAkbar Ladak (@bluplaneter)
Section: Crisp talk
Technical level: Intermediate
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Building a Large scale Augmented classifier ensemble to predict in noisy dataArthi Venkataraman (@arthi)
Section: Full talk
Technical level: Advanced
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Looking under the hood - demystifying data toolsSimrat Hanspal (@simrathanspal)
Section: Crisp talk
Technical level: Intermediate
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Deep Learning for Computer VisionAnand Chandrasekaran (@anandchandrasekaran)
Section: Workshop
Technical level: Intermediate
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RightFit- A Data Science Approach to Reduce Product Returns in Fashion e-CommerceAshish Kulkarni (@kulashish)
Section: Crisp talk
Technical level: Intermediate
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Meet the needs of content marketing with the power of NLPBalaji Vasan (@balajivasan)
Section: Full talk
Technical level: Intermediate
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Deciphering Driving Behaviour using Geospatial Temporal Data Collected from Smartphone SensorsAditya Karnik (@adityakarnik)
Section: Full talk
Technical level: Intermediate
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Real Time Fulfilment Planning at Flipkart ScaleJagadeesh Huliyar (@jagadeesh-huliyar)
Section: Full talk
Technical level: Intermediate
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Allocation and Forecasting in Guaranteed Delivery of AdvertisementsAditya Ramana Rachakonda (@arrac)
Section: Full talk
Technical level: Intermediate
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Machine Learning the Walmart Way with a Deep Dive into Automated Forecasting SystemAnindya Sankar Dey (@asd1)
Section: Crisp talk
Technical level: Intermediate
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A large scale IOT platform architecture using open source apache projects like Nifi, Kafka, Storm, Spark and Hadoop.Satish Duggana (@satishd)
Section: Full talk
Technical level: Intermediate
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Scalable Realtime Analytics using DruidNishant Bangarwa (@nishantbangarwa)
Section: Full talk
Technical level: Intermediate
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Advanced Deep Learning Workshop – Hands-onMartin Andrews (@mdda)
Section: Workshop
Technical level: Advanced
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Using Data to Identify the Genomic Cause of DiseaseRamesh Hariharan
Section: Full talk
Technical level: Intermediate
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Taking Analytics Applications from Labs to the Real World: Transfer Learning in PracticeShourya Roy (@shourya)
Section: Full talk
Technical level: Intermediate
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The Alternative Data revolution on Wall StGene Ekster (@geneman)
Section: Full talk
Technical level: Intermediate
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Reasoning: The Next Frontier in Data ScienceShailesh Kumar (@shkumar)
Section: Full talk
Technical level: Intermediate
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Reducing the world with JavaScriptAruna S (@arunasank)
Section: Full talk
Technical level: Intermediate
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Hadoop & Cloud Storage: Object Store Integration in ProductionRajesh Balamohan
Section: Crisp talk
Technical level: Intermediate
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Hierarchical Bayes Approach and Implementation of MCMC in an Ecological StudySoumen Dey (@soumendey)
Section: Full talk
Technical level: Advanced
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Convolutional Neural Networks from the Other SideSumod Mohan (@sumod)
Section: Full talk
Technical level: Advanced
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Scaling the Largest Functional DataSet @Flipkart aka CatalogAnuj Mittal (@anujmittal)
Section: Full talk
Technical level: Intermediate
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Lessons Learned : Real-life NLPMartin Andrews (@mdda)
Section: Crisp talk
Technical level: Intermediate
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Let your Big Data Processing take flight with Apache FalconPallavi Rao (@pallavi-rao)
Section: Crisp talk
Technical level: Beginner
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Emerging patterns of lifestyle impact on personal health & wellnessTanmay Gupta (@tanmaygupta)
Section: Crisp talk
Technical level: Beginner
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Machine Learning - DemocratizedBrijRaj Singh (@brijrajsingh)
Section: Full talk
Technical level: Beginner
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Design Patterns in IoT/IoESrinivasa Rao Aravilli (@aravilli)
Section: Crisp talk
Technical level: Intermediate
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Model VisualisationAmit Kapoor (@amitkaps)
Section: Full talk
Technical level: Beginner
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Apache Drill - Optimising Time to marketshubham sharma (@gabber12)
Section: Crisp talk
Technical level: Intermediate
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Exploit conceptual data models using ontology modelingUdaya Chitta (@uchitta)
Section: Crisp talk
Technical level: Beginner
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Big Data StructuresRanganathan B (@ranganathan)
Section: Full talk
Technical level: Beginner
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Discovering App Relationships in Smart Phones through Large Scale Mining of User Journey DataHanu Susarla (@susarlah)
Section: Full talk
Technical level: Intermediate
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(Workshop) Understanding neural networks by building few from scratchHarshad Saykhedkar (@harshss)
Section: Workshop
Technical level: Intermediate
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High performance computing using SparkAnand Katti (@anandkatti)
Technical level: Intermediate
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Recommender Engines : A Peak into Predictive AnalyticsRaghav Bali (@baliraghav)
Section: Full talk
Technical level: Beginner
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Anti-patterns in designing machine learning systemsSuchana Seth (@suchana)
Technical level: Advanced
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Building a large scale fully automatic machine learning platform from scratchDipayan Maiti (@dipayanm)
Section: Full talk
Technical level: Advanced
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Purpose, Speed & Visibility : Facilitating product discovery & engagement on a e-commerce websiteEkta Grover (@ekta1007)
Section: Full talk
Technical level: Intermediate
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Machine Learning Application in MicroFinanceAnubhav Dikshit
Section: Crisp talk
Technical level: Beginner
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Knowledge Inference: Estimating how much the student knowsAmar Lalwani (@amar1707)
Section: Full talk
Technical level: Intermediate
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What do machine learning and high performance computing have to do with big cats in the wild?Arjun Mallipatna Gopalaswamy (@arjun-4bigcats)
Section: Full talk
Technical level: Intermediate
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An Approach for recommending TopK Digital ArtworksVivek Anand Rao T S (@vtemker)
Section: Crisp talk
Technical level: Beginner
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Four horsemen of the IoTMakerville Systems (@mkrv)
Section: Full talk
Technical level: Intermediate
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Stream in a Flink waySharath B. Patel (@sharathsteel)
Section: Full talk
Technical level: Intermediate
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Apache Storm past, present and futureArun Mahadevan (@arunm)
Technical level: Intermediate
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Challenges in Data Warehouse Augmentation on Hadoopkoteswara Vemu (@koteswara)
Section: Sponsored
Technical level: Intermediate
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Data pipelines - Cakewalk with Docker and LuigiShubhadit Sharma (@shubhadit)
Technical level: Advanced
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ML in fin-tech - Transforming 60 crore Indian livesRiddhi Mittal (@riddhimittal)
Section: Full talk
Technical level: Beginner
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Logging at scale using Graylog - Billion+ messages, 100K req/secRohit Gupta (@rohit01)
Section: Crisp talk
Technical level: Intermediate
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Dr. Elephant - Self-Serve Performance Tuning for Hadoop and SparkAkshay Rai (@akshayrai)
Section: Crisp talk
Technical level: Intermediate
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Visually reading the configuration of a Rubiks cube using Probabilistic Graphical ModelSunil S Nandihalli (@sunilnandihalli)
Technical level: Intermediate
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Increasing Trust and Efficiency of Data Science using dataset versioningVenkata Pingali (@pingali)
Section: Crisp talk
Technical level: Intermediate
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Statistical Models for Better Customer EngagementVenkatramanan P.R. (@venkatpr)
Technical level: Intermediate
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Artificial Intelligence for Efficient Financial MarketsSivasankari Ramamurthy (@sivas)
Section: Crisp talk
Technical level: Intermediate
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Interactive data transformations at scaleAbhilash L L (@abhilashll)
Section: Sponsored
Technical level: Beginner
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Sensor Analytics for IoT and Embedded SystemsAmit Doshi (@amitdoshi)
Section: Crisp talk
Technical level: Intermediate
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Designing Data ProductsMahendra Kariya (@mahendrakariya)
Technical level: Intermediate
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Smart EnergySrinivasa Rao Aravilli (@aravilli)
Section: Crisp talk
Technical level: Intermediate
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Long Running Services on YARN: Future of Service Deployment & Management via HadoopPrasath Venkatraman (@ask4prasath)
Technical level: Advanced
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Security Analytics at Web Scalepratim mukherjee (@pratimkm)
Section: Full talk
Technical level: Intermediate
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Taking Fashion and Lifestyle Commerce Towards SKUs Using Deep Image and Text ParsingVijay Gabale (@vijaygabale)
Section: Full talk
Technical level: Intermediate
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Sentiment analysis to evaluate the performance of Fund ManagersGeeyavudeen Musthafa (@geeyamusthafa) (proposing)
Section: Crisp talk
Technical level: Beginner
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Predicting Corporate Bankruptcy by mining financial reports and regular transactional trends combining with Investor sentiment analysisPrajit Datta (@prajitdatta)
Section: Crisp talk
Technical level: Intermediate
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Unified & Distributed Test Infrastructure at Scale (Hortonworks Data Platform Testing)Shankar Hiremath (@shankarhiremath)
Section: Crisp talk
Technical level: Intermediate
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Forecasting the degradation of Network KPIsRoshni Mohandas (@roshnimohandas)
Section: Crisp talk
Technical level: Intermediate
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Timely DataflowBharani (@bharanisub)
Section: Crisp talk
Technical level: Advanced
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Data-Driven Decision Making in Indian Agriculture: the Present and the FutureUdit Poddar (@poddarudit)
Section: Crisp talk
Technical level: Intermediate
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Real-time Ingestion of logs into Hive with a low latency, to query and respond to eventsPallav Jakhotiya (@pallavjakhotiya)
Section: Crisp talk
Technical level: Intermediate
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