Heeren Sharma

I am trying to generate a even simpler library for making life easier for new people who are trying to dive into the ocean of machine learning. This library supports various simple regression modelling like linear regression, logisitic regression, SVM and gaussian processes to complex and advanced ones like Neural Networks and Random Forests. More information and contributions can be found at these links. https://github.com/heerensharma/fastML https://github.com/heerensharma/Time-Series

Keywords: Python (anaconda), Flask, Postgresql, KPI, Data Analysis Details: Development of Campaign Analysis Tool which facilitate analysis of various KPI during a campaign and highlight statistical significant changes in these KPI values in accordance with Pre - and Post-Campaign analysis data. It also includes demonstrative ability of success or failure of respective campaigns over robust developed metrics.

Security analysis for various App stores and coming up with new threat vectors. It also deals with future research aspects and building prototype to test an existing system with added functionality.

Keywords: Machine Learning, Anomalous behavior detection, MTTR, Big Data, Graph Database (neo4j), R Details: I completed this thesis with 1.3 score (1 being best). This work is good blend of Research and Development. More information can be found on this link: http://www.sec.in.tum.de/concept-learner-for-cormel-transaction-data-in-amadeus-data-processing-systems/

Keywords: Eclipse Plugin, Java Core Generation of Eclipse Plugin Development • Identification of a framework to support Eclipse-based graphical editing. • Development of a graphical editor for editing Farm descriptors as an Eclipse Plug-in. • Incorporate validation and serialization of graphically described farm to write human readable XML files.

Keywords: Network Architecture, XML, python, shell scripting • Develop architecture for the generation of various computer nodes over a single machine using virtualisation and subsequently develop network topologies. • XML file is used as the input over the master machine (Domain 0) and over this the topology generation is performed with the automation of the routing among the nodes. • Additionally, as a side role, tutor for iLAB1 (http://ilab.net.in.tum.de/)

Distributed Applications, Network and Security. Data Analysis, ML, Applied Software Engineering

Computer Networking and Security, Assembler and Parser, Algorithm Design